Schedule Events Conference - isif.orgisif.org/fusion/proceedings/Fusion_2011/data/program.pdfWelcome to Fusion 2011 4 While you are here, there is much to see in Chicagoland (that

Schedule of Events

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Tuesday, July 5 08:00‐12:00 Tutorials 13:00‐17:00 Tutorials 16:20‐18:00 Outstanding Student

Paper Special Session 18:00‐19:30 Ice Breaker Reception

Wednesday, July 6 08:30‐09:30 Plenary Session 09:30‐10:00 Break 10:00‐12:05 Technical Session 12:05‐13:00 Lunch 13:00‐15:05 Technical Session 15:05‐15:30 Break 15:30‐17:10 Technical Session 18:00‐21:00 Welcome Reception

Thursday July 7 08:30‐09:30 Plenary Session 09:30‐10:00 Break 10:00‐12:05 Technical Session 12:05‐13:00 Lunch 13:00‐15:05 Technical Session 15:05‐15:30 Break 15:30‐17:10 Technical Session 19:00‐22:00 Gala Banquet

Friday, July 8 08:30‐09:30 Plenary Session 09:30‐10:00 Break 10:00‐12:05 Technical Session 12:05‐13:00 Lunch 13:00‐15:05 Technical Session 15:05‐15:30 Break 15:30‐17:10 Technical Session

Conference Site

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Welcome to Fusion 2011

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Welcome to FUSION 2011 and Chicago, one of the most exciting

cities in America. We hope you have a technically rewarding

time at the conference and enjoy all that the city of Chicago has

to offer. Our social activities will highlight a few parts of the

city, but there are many other sites that should be visited. We

chose the Hyatt Regency Chicago because of its location and

ability to serve our conference well. While this flagship Hyatt is

huge in many ways, the West Tower fits our conference size

perfectly. All of the general sessions, parallel sessions, lunches,

and breaks will be on the same level in the West Tower. The

convenience of the Hyatt Regency’s location to Grant Park, the

Navy Pier, shopping on Michigan Avenue, the Chicago River,

Lake Michigan, and the museums couldn’t be better.

The social events schedule includes an “Ice‐Breaker” reception on Tuesday, the Opening Reception on the 99th Floor of

the Willis Tower on Wednesday, and the Gala Banquet in the Grand Ballroom on the Navy Pier on Thursday. There will

be shuttle service to the Willis Tower on Wednesday, and limited shuttle service to the Navy Pier on Thursday. We

anticipate that many of you will want to take the short stroll to the Navy Pier.

This year marks the first ever Fusion 5K Fun Run which will be held Thursday morning. The purpose of this fun run is to

give back to the community which hosts our conference. This year the proceeds from the fun run registration will

benefit Chicago’s Children’s Memorial Hospital Circle of Friends. The Children’s Memorial Hospital is dedicated to the

health and well‐being of all children, delivering pediatric health care, research into the prevention, causes, and

treatment of diseases that affect children, and education for physicians, nurses, and allied health professionals. We are

very excited to be hosting this event and look forward to seeing you at the starting line.

About Chicago Chicago is the “Second City” – that’s the name of a pretty famous comedy club, and it refers to Chicago’s status as

“second” to New York. Chicago used to be the United States’ second‐largest city (presently nine million souls and

another half‐million Cubs fans), but of course Chicago has been eclipsed now by Los Angeles. Chicago is a proud city

with a strong identity. It is the City of Broad Shoulders, the City that Works, and the Windy City.

Chicago is hugely proud of its professional sports teams: football’s Bears, basketball’s Bulls, soccer’s Fire, hockey’s

Blackhawks and baseball’s Cubs. Of course Chicago’s other baseball team is the White Sox. To experience Chicago’s

pride, please join us on Friday night as we go to a White Sox game.

In addition, Chicago is very proud of its food. Tracing its roots to Poland, Germany, Italy – and just plain America –

Chicago’s deep dish pizza, bratwurst, kielbasa, and barbecue are not to be missed. We have tried to offer a selection of

Chicago tastes as part of the daily luncheons and snacks, and also on the menu at our reception and banquet.


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While you are here, there is much to see in Chicagoland (that is what the locals call the extended metro area):

There is upscale shopping and eating along the Magnificent Mile and State Street.

The Hyatt Regency is home to the “Long Bar” – the longest continuous bar in the world.

Navy Pier houses retail stores, restaurants, museums, and an outdoor amusement park.

The Museum Campus is a 10‐acre lakefront park just two miles from the Hyatt Regency, comprising:

o The Adler Planetarium & Astronomy Museum

o The Field Museum of Natural History (where Sue can be viewed—the largest and most complete T. Rex

skeleton in the world)

o The Shedd Aquarium

Other museums include:

o The University of Chicago Oriental

o The Chicago History Museum

o The DuSable Museum of African American History

o The Museum of Contemporary Art

o The Peggy Notebaert Nature Museum, the Polish Museum of America

o The Museum of Broadcast Communications and the Museum of Science and Industry

Frank Lloyd‐Wright tour* of Chicago. Lloyd‐Wright, possibly America’s foremost architect, seems to have left a

large legacy in this city.

Frank Gehry’s detailed stainless steel band shell, the Jay Pritzker Pavilion, hosts the classical Grant Park Music

Festival concert series.

o Behind the pavilion’s stage is the Harris Theater for Music and Dance, an indoor venue for mid‐sized

performing arts companies, including the Chicago Opera Theater and Music of the Baroque.

The historic Chicago Cultural Center (1897), originally serving as the Chicago Public Library, now houses the city’s

Visitor Information Center, galleries, and exhibit halls. The building features a 38‐foot Tiffany glass dome.

Grant Park holds Millennium Park. See:

o The reflective Cloud Gate sculpture

o The Buckingham Fountain

o The Art Institute of Chicago

o The park also hosts the annual Taste of Chicago festival. Come early–unfortunately this ends July 3rd.

*We have organized an architectural boat tour. Please see our conference desk for details.

Acknowledgements We believe we have an extraordinary technical program, thanks to the Program Committee chaired by Lance Kaplan

(ARL) and Neil Gordon (DSTO) and their volunteer reviewers. Some numbers: there were 229 members of the Technical

Program Committee (TPC); 371 papers were submitted, and 295 (79.5%) of these were accepted for publication in the

conference proceedings; most papers submitted received three reviews (in all cases at least two), for a total of 1,012

technical reviews. We are especially grateful to our plenary speakers: Dr. Mica Endsley (SA Technologies: “Bringing

Cognitive Engineering to the Information Fusion Problem: Creating Systems That Understand Situations”); Professor

Vladimir Vapnik (Columbia University: “Learning with a Teacher: Learning Using Privileged Information”); and Professor


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Vikram Krishnamurthy (University of British Columbia: “Social Learning for Reconfigurable Sensor Networks”). Our

thanks to Plenary Chair Roy Streit from Metron—Roy was also our Awards chair.

As with all FUSION conferences, we have been helped by the many who have organized invited sessions – about 33% of

our papers are in these sessions. These papers were subject to the same strict review process that all the papers receive

as Fusion conferences. We must thank Special Sessions chair David Hall for his hard work in bringing these special

sessions together.

We are indebted to the many people who have helped with this conference. Finance Chair Juan Vasquez has dealt with

the budgeting issues and all payments. Tutorials Chair Dale Blair has put together a strong program of tutorials. Lance

and his Technical Co‐Chair Neil Gordon have had the unenviable task of coordinating the reviews to all the 371

submitted papers. We think that Lance and Neil have put as much work into this conference as anyone. Our

Publications Chair Wayne Blanding has continued his work in putting together a well‐organized Proceedings and

Program. We are not sure if many people who attend conferences know how much time‐constrained work is involved

for that slot, and we have been pleased that he is FUSION Publications Chair–again! Finally, we want to thank Peter

Willett for his support, knowledge base, and humor. We could not have pulled this off without his loyalty and

commitment to us and to FUSION. This is the third time he has been a chair, and most of us are only willing to do this

once.

We have been fortunate to have received financial support from a number of sources. We must begin, of course, with

ISIF and the AESS society from IEEE, our prime co‐sponsors. In addition, ONR, ARL, Raytheon, Vectraxx, and Metron

have all been extremely generous.

Your organizing committee has participated in many of the past FUSION conferences. We have always found these

conferences technically exciting. The FUSION conferences have developed a hard‐earned reputation as a place where

the sessions are always well attended. The audience is engaged and critical, while being professional. Therefore, no one

would send any but their best work to FUSION. However, a FUSION conference is also an experience, and we feel that

technical exchanges are best when they are also social exchanges. We hope that we, in Chicago, will be able to claim

that we have given you both.

Darin Dunham Amy (Sunshine) Smith‐Carroll Vectraxx, Inc. Naval Surface Warfare Center Conference General Co‐Chair Conference General Co‐Chair

Our Sponsors

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Organizing Committee

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GENERAL COCHAIRS Darin Dunham Vectraxx, Inc., USA

Amy Sunshine Smith‐Carroll Naval Surface Warfare Center, USA

TECHNICAL PROGRAM COCHAIRS Lance Kaplan Army Research Laboratory, USA

Neil Gordon DSTO, Australia

AWARDS AND PLENARY SESSIONS Roy Streit Metron, Inc., USA

CHAIR EMERITUS Peter Willett

University of Connecticut, USA

FINANCE CHAIR Juan Vasquez Air Force Research Laboratory, USA

TUTORIALS CHAIR Dale Blair Georgia Institute of Technology, USA

PUBLICATIONS CHAIR Wayne Blanding

York College of Pennsylvania, USA

SPECIAL SESSIONS

David Hall Pennsylvania State University, USA

Technical Program Committee

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Abdelzaher, Tarek Damarla, Thyagaraju Hinman, Michael Abraham, Douglas Daun, Martina Hintz, Ken Agate, Craig Davey, Samuel Holsopple, Jared Amditis, Angelos Davidson, Glen Holzner, Jürgen Andler, Sten De Maio, Antonio Hong, Sun‐Mog Appriou, Alain De Villers, Yves Arambel, Pablo Debouk, Rami Jakobson, Gabriel Arulampalam, Sanjeev Dezert, Jean Ji, Qiang Dockstader, Shiloh Jiang, Xiaoyi Bajo, Javier Dorion, Eric Jilkov, Vesselin Bar‐Shalom, Yaakov Duan, Zhansheng Johansson, Fredrik Baum, Marcus Dunham, Darin Johansson, Ronnie Benameur, Kaouthar Josang, Audun Benavoli, Alessio Edwards, Mark Jouan, Alexandre Benferhat, Salem Efe, Murat Jousselme, Anne‐Laure Berger, Christian Ehlers, Frank Berger, Jean Evans, Rob Kadar, Ivan Besnard, Philippe Kaplan, Lance Bieker, Tanja Ferry, James Karlsson, Rickard Biermann, Joachim Fletcher, Fiona Kester, Leon Blair, Dale Florea, Mihai Cristian Kirubarajan, Thia Blanding, Wayne Foster, George Koch, Wolfgang Blasch, Erik Foucher, Samuel Kohli‐Laven, Nina Blom, Henk Fränken, Dietrich Kokar, Mieczyslaw Blum, Rick Konieczny, Sebastian Boers, Yvo Gagnon, Langis Kral, Ladislav Bosse, Eloi Garcia, Jesus Kreucher, Christopher Briers, Mark García‐Fernández, Ãngel Krout, David Buford, John George, Jemin Kuh, Anthony Bull, David Gheta, Ioana Kulpa, Krzysztof Ghosh, Bijoy Capponi, Agostino Godsill, Simon La Cour, Brian Carthel, Craig Gold, Joseph Lane, Richard Chan, Moses Gordon, Neil Laskey, Kathryn Chang, Kouchu Govaers, Felix Lavery, John Chen, Humin Govindan, Ramesh Lee, Gordon Chong, Chee‐Yee Grasso, Raffaele Lewis, Lundy Clark, Daniel Gu, Irene Y.H. Li, X. Rong Coates, Mark Guerriero, Marco Lindgren, David Copsey, Keith Gustafsson, Fredrik Luettgen, Mark Coraluppi, Stefano Luginbuhl, Tod Corchado, Juan Hall, David Lynch, Robert Costa, Paulo Hanebeck, Uwe Madan, Rabinder Crassidis, John Hanratty, Timothy Mahler, Ronald Heintz, Fredrik Mallick, Mahendra Dai, Liyi Hendeby, Gustaf Maltese, Domique

Technical Program Committee

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Marshall, David Pham, Tien Straka, Ondřej Marti, Enrique Piou, Jean Streit, Roy Martin, Todd Powell, Gerald Sudit, Moises Maskell, Simon Puncochar, Ivo Svensson, Daniel Maupin, Patrick Puranik, Sumedh Svensson, Lennart Meidow, Jochen Sviestins, Egils Mellema, Garfield Ralph, Jason Sycara, Katia Melvin, William Ranchin, Thierry Mertens, Michael Rao, Nageswara Tadda, George Mihaylova, Lyudmila Ratton, Laurent Thomä, Reiner Misiurewicz, Jacek Register, Andy Thomas, Paul Molina, Jose Ristic, Branko Tian, Zhi Montagner, Julien Rogova, Galina Toet, Alexander Montiel, Ignacio Roy, Jean Trailovic, Lidia Mori, Shozo Ru, Jifeng Tran‐Luu, Tung‐Duong Moshiri, Behzad Rutten, Mark Trouve, Emmanuel Tupin, Florence Nagao, Hiromichi Sadhu, Smita Nagi, Rakesh Sadjadi, Firooz Ulmke, Martin Nasrabadi, Nasser Salerno, John Nelson, Jill Salmond, David Vaccaro, Michael Newman, Aaron Sambhoos, Kedar Valin, Pierre Ng, Gee Wah Scheunert, Ullrich Vanheeghe, Philippe Nicholson, David Schneidler, Michael Varshney, Pramod Nikolov, Stavri Schubert, Johan Visentini, Ingrid Niu, Ruixin Seetharaman, Gunasekaran Viswanathan, Ramanarayanan Noack, Benjamin Semerdjiev, Tzevtan Vo, Ba Ngu Shapiro, Stuart Opitz, Felix Showman, Gregory Wang, Xuezhi Orguner, Umut Shrestha, Akhilesh Willett, Peter Oshman, Yaakov Sijs, Joris Williams, Jason Oxenham, Martin Silbert, Mark Oxley, Mark Sinha, Abhijit Yan, Yanjun Smith‐Carroll, Amy Yang, Shanchieh Pannetier, Benjamin Snidaro, Lauro Yu, Bin Pattipati, Krishna Song, Taek‐Lyul Peel, Leto Stone, Lawrence Ziemke, Tom Petrovic, Vladimir

Plenary Talks

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Bringing Cognitive Engineering to the Information Fusion Problem: Creating Systems that Understand Situations Mica R. Endsley, SA Technologies Abstract: A great deal of interest has developed in creating computer models that can form an analog of human situation awareness (SA). These tools would be useful for automating some aspects of situation management, or for aiding human operators in the challenge of maintaining situation awareness across large and complex operations. In order to create effective fusion approaches for creating SA out of level 1 data, it is necessary to understand the mechanisms involved in human SA, and to apply analogs of these mechanisms within the architecture to achieve similar functionality. Such an approach has much to offer as a means of overcoming the limits of many traditional algorithmic approaches that fall far short of the goals of the information fusion community in its quest for level 2 and 3 fusion. This presentation will discuss some of the key aspects of human SA that need to be incorporated into computer models of SA, and explore approaches from the field of cognitive engineering for creating the needed computer analogs. Biography: Dr. Mica R. Endsley is President of SA Technologies, a cognitive engineering firm specializing in the analysis, design, measurement and training of situation awareness in advanced systems, including the next generation of systems for aviation, air traffic control, medical, power and military operations. Dr. Endsley received a Ph.D. in Industrial and Systems Engineering from the University of Southern California. Prior to forming SA Technologies she was a visiting associate professor at MIT in the department of Aeronautics and Astronautics and an Associate Professor of Industrial Engineering at Texas Tech University. She has authored over 200 scientific articles and reports on situation awareness, decision making and automation and is recognized internationally for her work in the area of situation awareness. She is a co‐author of Analysis and Measurement of Situation Awareness and Designing for Situation Awareness.

Learning with a Teacher: Learning Using Privileged Information Vladimir Vapnik, Columbia University Abstract: The existing machine learning paradigm considers a simple scheme: given a set of training examples, find in a given collection of functions the one that in the best possible way approximates the unknown decision rule. In such a paradigm a teacher does not play any role. In human learning, however, the role of a teacher is very important: along with examples, a teacher provides students with explanations, comments, comparisons, and so on. In this talk I will introduce elements of human teaching in machine learning. I will introduce an advanced learning paradigm called learning using privileged information (LUPI), where at the training stage the teacher gives some additional information about training examples. This (privileged) information will not be available at the test stage. The problem is to create learning algorithms that due to privileged information require much less training examples to converge to the best possible solution than classical algorithms. I will consider LUPI paradigm for support vector machine type of algorithms and

demonstrate a big superiority of the advanced learning paradigm over the classical one. The new learning paradigm is general; it can be applied to almost any learning problem. Biography: Professor Vapnik gained his Masters Degree in Mathematics in 1958 at Uzbek State University, Samarkand, USSR. From 1961 to 1990 he worked at the Institute of Control Sciences, Moscow, where he became Head of the Computer Science Research Department. He then joined AT&T Bell Laboratories, Holmdel, NJ, where he now continues as a consultant, having been appointed Professor of Computer Science and Statistics at Royal Holloway in 1995. Professor Vapnik has taught and researched in computer science, theoretical and applied statistics for over 30 years. He has published 6 monographs and over a hundred research papers. His major achievements have been the development of a general theory for minimizing the expected risk of losses using empirical data, and a new type of machine learning called Support Vector Machine that possesses a high level of generalization ability. These techniques have been used to solve many pattern recognition and regression estimation problems and have been applied to the problems of dependency estimation, forecasting, and constructing intelligent machines.

Social Learning for Reconfigurable Sensor Networks Vikram Krishnamurthy, University of British Columbia Abstract: Decentralized awareness in a sensor network requires decentralized information processing. The idea is that if each sensor or small group of sensors can appropriately adapt their behavior to locally observed conditions, they can quickly self‐organize into a functioning network, eliminating the need for difficulty and costly centralized control. This talk deals with decentralized information processing and social learning in sensor networks using game theoretic methods. The talk comprises three parts. In the first part, we describe how social learning leads to the remarkable behavior of rational herding, where all sensors eventually end up taking the same action. In the second part of the talk, we illustrate how the theory of global games gives a powerful method for designing decentralized data‐aware sensor activation algorithms in dense sensor networks. We show that the Nash equilibrium of the sensor network has a simple threshold structure and exhibits a remarkable phase transition as more data is collected. In the third part of the talk we describe how decentralized adaptive filtering algorithms with regret matching can be deployed in sensor networks to guide network behavior to a correlated equilibrium. Biography: Vikram Krishnamurthy holds the Canada Research Chair at the Department of Electrical Engineering, University of British Columbia, Vancouver, Canada. Prior to 2002, he was a chaired professor at the Department of Electrical and Electronic Engineering, University of Melbourne, Australia. His current research interests include computational game theory, stochastic dynamical systems for modeling of biological ion channels and stochastic optimization and scheduling. Dr. Krishnamurthy has served as associate editor for several journals including IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Nanobioscience, and Systems and Control Letters. In 2009 and 2010 he served as Distinguished Lecturer for the IEEE Signal Processing Society. From 2010 he serves as Editor in Chief of IEEE Journal of Selected Topics in Signal Processing. Dr. Krishamurthy received his Ph.D. from the Australian National University, Canberra.

Tutorials—Tuesday, July 5

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Location Morning Tutorial (08:00‐12:00) Afternoon Tutorial (13:00‐17:00)

Acapulco Multitarget Tracking, Low Observables, and

Multisensor Fusion Yaakov Bar‐Shalom

Toronto

Higher Level Fusion and Decision Support For Situation Management: Challenges and

Computational Approaches Galina Rogova

New Orleans

Multistatic Exploration—Introduction to Modern Passive Radar and Multistatic

Tracking and Data Fusion Wolfgang Koch

Walking through the JDL Model—Introduction to Fusion Methods by

Discussing Practical Examples on Various JDL Levels

Wolfgang Koch

San Francisco Poisson Point Processes: Imaging, Tracking,

and Distributed Sensing Roy Streit

Maneuvering Target Tracking: Nonlinear Filtering Methods

X. Rong Li Vesselin P. Jilkov

Atlanta Evidential Reasoning with Subjective Logic

Audin Jøsang

Hong Kong Unstructured Data Analysis for High‐Level

Fusion Subrata Das

Information Fusion Evaluation: From Methods to Metrics

Erik Blasch

Technical Program—Session Overview

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Wednesday, July 6 Room Regency A Regency B Toronto Acapulco

8:30‐9:30 Plenary Session: Mica Endsley

10:00‐12:05

Unscented Approaches Extended Object and

Group Target Tracking I Target Tracking: Novel

Dynamic Models

Efficient Protocols for

Wireless Sensor Networks

13:00‐15:05

Particle Filtering I

Extended Object and Group Target Tracking II

Target Tracking: Novel Measurement Updates

Localization

15:30‐17:10

Gaussian Mixtures

Extended Object and Group Target Tracking

III

Multiple Target Tracking

Deployment Strategies for Sensor Networks

Thursday, July 7 Room Regency A Regency B Toronto Acapulco

8:30‐9:30 Plenary Session: Vladmir Vapnik

10:00‐12:05

Particle Filtering II Multistatic Tracking I

Multiple Model Track

Filtering I

Video Tracking

13:00‐15:05

Finite Set Statistics: Tracking Applications

Multistatic Tracking II Multiple Model Track

Filtering II Resource Management

& Scheduling

15:30‐17:10

Density Representation for Tracking

Track Fusion Radar Target Tracking

Robust Nonlinear Filtering

Friday, July 8 Room Regency A Regency B Toronto Acapulco

8:30‐9:30 Plenary Session: Vikram Krishnamurthy

10:00‐12:05

Particle Filtering III Information Fusion

Performance Evaluation I

Applications of Sensor Fusion

Information Processing for Wireless Sensor

Networks

13:00‐15:05

Finite Set Statistics: PHD Methods

Information Fusion Performance Evaluation

II

Nonlinear Target Tracking

Image Fusion

15:30‐17:10

Grid‐based Methods MHT Advancements

Note: highlighted sessions are special sessions, non‐highlighted sessions are regular.

Technical Program—Session Overview

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Wednesday, July 6 New Orleans Atlanta Hong Kong San Francisco

Plenary Session: Mica Endsley

Detection Evaluation of Techniques

for Uncertainty Representation

Understanding and Exploiting Quality of

Information in Networked Information Fusion Systems

Pattern Analysis for Situational Awareness

Multi‐modal Multi‐sensor Data Fusion for Personnel

Detection Belief Functions—Theory

Human‐based Sensing: From Passive Searching to

Active Participation

Data Assimilation: Fusion of Numerical Simulations and

Data Analyses

Classification Information Fusion with Imprecise Probabilities

Networked Information Fusion: Integrating Comm and Fusion Processes for Enhanced Detection in

Urban Scenarios

Intelligent Systems for High Level Information Fusion

Thursday, July 7 New Orleans Atlanta Hong Kong San Francisco

Plenary Session: Vladmir Vapnik

Navigation I Belief Functions—

Applications

Hard/Soft Information Fusion: New Data Sets and Innovative Architectures

Mission Planning and Execution

Signal and Image Processing Soft Fusion and Social

Anthropology Situation Assessment

Learning Data and Information

Representation

Natural Language Processing & Information

Retrieval

Biopharma Safety Signal Intelligence

Friday, July 8 New Orleans Atlanta Hong Kong San Francisco

Plenary Session: Vikram Krishnamurthy

Navigation II Information Fusion under Unknown Dependencies

Network Science from the Data Fusion Perspective I

Context‐based Information Fusion Strategies

Fusion for Collaborative Sensing

(Distributed) Multi Sensor Fusion Engines I

Network Science from the Data Fusion Perspective II

Decision Support

(Distributed) Multi Sensor

Fusion Engines II

Note: highlighted sessions are special sessions, non‐highlighted sessions are regular.

Technical Program—Wednesday AM

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Time Regency A Regency B Toronto Acapulco

10:00‐12:05 Unscented Approaches

Joseph Gold

Extended Object and

Group Target Tracking I Uwe Hanebeck Wolfgang Koch Marcus Baum

Target Tracking: Novel Dynamic Models Samuel Davey

Efficient Protocols for Wireless Sensor

Networks Ruixin Niu

10:00

Multi‐Sensor Data Fusion: An Unscented Least Squares

Approach Jemin George Lance Kaplan

The Single‐Group PHD Filter: An Analytic Solution

Anthony Swain Daniel Clark

Optimal Parameterization of Posterior Densities Using

Homotopy Jonas Hagmar Mats Jirstrand

Lennart Svensson Mark Morelande

Dynamic Bandwidth Allocation for Target Tracking in Wireless Sensor Networks

Engin Masazade Ruixin Niu

Pramod Varshney

10:25

Gaussian Sum Unscented Kalman Filter with Adaptive

Scaling Parameters Ondřej Straka Jindřich Duník

Miroslav Šimandl

Estimating the Shape of Targets with a PHD Filter

Christian Lundquist Karl Granström Umut Orguner

State Propagation for Targets Moving in Ground Terrain

Egils Sviestins

A Cooperative Transmission Protocol for Wireless Sensor

Networks with On‐Off Scheduling Schemes Chi‐Tsun Cheng Henry Leung

10:50

Nonlinear Filtering Update Phase Via the Single Point

Truncated Unscented Kalman Filter

Ángel García‐Fernández Mark Morelande

Jesús Grajal

Reconstructing Evolutionary Modular Networks from Time

Series Data Navid Bazzazzadeh Benedikt Brors Roland Eils

On the Probability Distribution of a Moving

Target. Asymptotic and Non‐asymptotic Results Mathieu Chouchane

Sébastien Paris François Le Gland Christian Musso Dinh‐Tuan Pham

Collaborative Communication Control Based on Sensor Data

Management in WSN Xinwei Wang Ole Bischoff Rainer Laur Steffen Paul

11:15

Marginalized Sigma‐Point Filtering

Fredrik Sandblom Lennart Svensson

Extended Target Tracking with a Cardinalized

Probability Hypothesis Density Filter Umut Orguner

Christian Lundquist Karl Granström

N‐body Filtering for Road Tracking using a Car Following Model Mahendra Mallick

Steve Rubin Jorge Laval

Decentralized Data Selection for MAP Estimation: A

Censoring and Quantization Approach Eric Msechu

Georgios Giannakis

11:40

State Estimation with Nonlinear Inequality Constraints Based on

Unscented Transformation Jian Lan X. Rong Li

An Extended Target Tracking Method with Random Finite

Set Observations Hongyan Zhu

Chongzhao Han Chen Li

Technical Program—Wednesday AM

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New Orleans Atlanta Hong Kong San Francisco

Detection Nassy Srour

Evaluation of Techniques for Uncertainty Representation Paulo Costa

Kathryn Laskey Erik Blasch

Understanding and Exploiting Quality of

Information in Networked Information Fusion

Systems Tarek Abdelzhaer Ramesh Govindan

Pattern Analysis for Situational Awareness

John Salerno

Optimal Neyman‐Pearson Fusion in Two‐dimensional Sensor

Networks with Serial Architecture and Dependent Observations

Jorge Plata‐Chaves Marcelino Lázaro

Antonio Artés‐Rodríguez

GRP1. A Recursive Fusion Operator for the Transferable

Belief Model Gavin Powell

Matthew Roberts

QoI‐based Resource Allocation for Multi‐Target Tracking in Energy Constrained Sensor Networks

Srikanth Hariharan Chatschik Bisdikian

Lance Kaplan Tien Pham

Top‐Down Abduction for Behavior Detection in GMTI Data

Jacob Crossman Michael Quist

Richard Frederiksen Pat McLaughlin

Performance Analysis of Wald’s SPRT with Independent but Non‐Stationary Log‐Likelihood Ratios

Yu Liu X. Rong Li

Joint Data Management for MOVINT Data‐to‐Decision Making

Erik Blasch Stephen Russell

Guna Seetharaman

Constrained Conditional Models for Information Fusion

Gourab Kundu Dan Roth

Rajhans Samdani

On the Application of Multiple Hypothesis Tracking to the Cyber

Domain Stefan Schwoegler Jared Holsopple Sam Blackman Michael Hirsch

Sequential Conformal Anomaly Detection in Trajectories Based on

Hausdorff Distance Rikard Laxhammar Göran Falkman

Who Dunnit? An Appraisal of Two People Matching Techniques

Dafni Stampouli Matthew Roberts Gavin Powell

Provenance‐driven Data Dissemination in Disruption

Tolerant Networks Mudhakar Srivasta

Wei Gao Arun Iyengar

Mission Cyber Security Situation Assessment Using Impact

Dependency Graphs Gabriel Jakobson

A Novel Measure for Data Stream Anomaly Detection in a Bio‐

Surveillance System Albert Hung Ren Ko

Anne‐Laure Jousselme Patrick Maupin

Evaluating Uncertainty Representation and Reasoning in

HLF Systems Paulo Costa

Rommel Carvalho Kathryn Laskey Cheol Park

Real‐time Capacity of Networked Data Fusion

Forrest Iandola Fatemeh Saremi Tarek Abdelazaher

Praveen Jayachandran Aylin Yener

Spacio‐Temporal Situation Assessment for Mobile Robots

Anders Beck Claus Risager Nils Andersen Ole Ravin

Operational Information Content Sum Capacity: Formulation and

Examples Ertugrul Ciftcioglu

Aylin Yener Ramesh Govindan

Konstantinos Psounis

A Blackboard Architecture for Data‐Intensive Information Fusion using Locality‐Sensitive Hashing

Gautam Shroff Saurabh Sharma Puneet Agarwal Shefali Bhat

Technical Program—Wednesday PM

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13:00‐15:05 Particle Filtering I Maria Scalzo


II Uwe Hanebeck Wolfgang Koch Marcus Baum

Target Tracking: Novel Measurement Updates

Thia Kirubarajan

Localization Tien Pham

13:00

The Benefits of Down‐Sampling in the Particle Filter

Fredrik Gustafsson Saikat Saha

Umut Orguner

A Novel Sequential Monte Carlo Approach for Extended Object Tracking Based on Border Parameterisation

Nikolay Petrov Lyudmila Mihaylova

Amadou Gning Donka Angelova

General Bayes Filtering of Quantized Measurements

Ronald Mahler

Multiple Emitter Localization Using a Realistic Airborne

Array Sensor Marc Oispuu

Marek Schikora

13:25

Uniform Sampling for Multiple Target Tracking

Mark Morelande Alan Zhang

Tracking Multiple Extended Objects—A Markov Chain Monte Carlo Approach

Eric Richter Marcus Obst Michael Noll Gerd Wanielik

Exact Out‐of‐Sequence Processing Using the Information Filter Felix Govaers Wolfgang Koch

Direct Localization and Detection of Multiple Sources in Multi‐Path Environments

Bruno Demissie

13:50

Introducing the Laplace Approximation in Particle

Filtering Christian Musso Paul Bui Quang François Le Gland

Histogram PMHT with Target Extent Estimates Based on

Random Matrices Monika Wieneke Samuel Davey

Credibilistic IMM Likelihood Updating Applied to Outdoor

Vehicle Robust Ego‐Localization

Dominique Gruyer Evangeline Pollard

Shooter Localization Using Soldier‐Worn Gunfire Detection Systems Jemin George Lance Kaplan

14:15

Implementation and Performance of a Parallel

Multitarget Tracking Particle Filter

Vesselin Jilkov Jiande Wu

Extended Target Tracking Using Principal Components

Johan Degerman Johannes Wintenby Daniel Svensson

Minimizing Bearing Bias in Tracking by De‐coupled Rotation and Translation

Estimates Raman Arora Maya Gupta

Gas Detection and Source Localization: A Bayesian

Approach Gregor Pavlin Patrick de Oude Franck Mignet

14:40

Shape Tracking of Extended Objects and Group Targets with Star‐Convex RHMs

Marcus Baum Uwe Hanebeck

Target Tracking in Uncertain Multipath Environments

Using Viterbi Data Association

Li Li Jeffrey Krolik

Resolving RIPS Measurement Ambiguity in Maximum Likelihood Estimation

Wenchao Li Xuezhi Wang Bill Moran


17


Multi‐modal Multi‐sensor Data Fusion for Personnel

Detection Thyagaraju Damarla

James Sabatier

Belief Functions—Theory Jean Dezert

Human‐based Sensing: From Passive Searching to

Active Participation John Lavery Rakesh Nagi

Data Assimilation: Fusion of Numerical Simulations

and Data Analyses Hiromichi Nagao Tomoyuki Higuchi

Multi‐Sensory Features for Personnel Detection at Border

Crossings Po‐Sen Huang

Thyagaraju Damarla Mark Hasegawa‐Johnson

An Empirical Study of Uncertainty Measures in the Fuzzy Evidence

Theory Andriy Burkov

Sébastien Paquet Guy Michaud Pierre Valin

Specificity and Merging Challenges in Soft Data Association

Megan Hannigan James Llinas

Kedar Sambhoos

Embedding Reality in a Numerical Simulation with Data Assimilation

Tomoyuki Higuchi

Detection of People and Animals Using Non‐Imaging Sensors

Thyagaraju Damarla Asif Mehmood James Sabatier

Monte‐Carlo Approximations for Dempster‐Shafer Belief Theoretic

Algorithms Thanuka Wickramarathne

Kamal Premaratne Manohar Murthi

Evaluating Spreading Activation for Soft Information Fusion

Michael Kandefer Stuart Shapiro

Hybrid Wind Tunnel Based on Ensemble Kalman Filter

Hiroshi Kato Shigeru Obayashi

Multimodal Sensor Fusion for Personnel Detection

Xin Jin Shalabh Gupta

Asok Ray Thyagaraju Damarla

Redefining Material Implication with Subjective Logic

Audin Jøsang Zied Elouedi

Significant Information Encapsulation and Valence

Exploitation (SIEVE) for Discovery Katie McConky Rakesh Nagi Moises Sudit William Rose Gary Katz

Sequential Data Assimilation in Geotechnical Engineering and Its Application to Seepage Analysis

Kazuyuki Nakamura Shinya Yamamoto Makoto Honda

Robust Multi‐Sensor Classification via Joint Sparse Representation

Nam Nguyen Nasser Nasrabadi

Trac Tran

Contradiction Measures and Specificity Degrees of Basic Belief

Assignments Florentin Smarandache

Arnaud Martin Christophe Osswald

Temporal Alignment in Soft Information Processing

Devin McMaster Rakesh Nagi

Kedar Sambhoos

Estimation of Macroscopic Parameter in Agent‐based

Pandemic Simulation Masaya Saito Seiya Imoto

Rui Yamaguchi Satoru Miyano

Tomoyuki Higuchi

New Dissimilarity Measures in Evidence Theory Deqiang Han Jean Dezert

Chongzhao Han Yi Yang

Using Propositional Graphs for Soft Information Fusion

Michael Prentice Stuart Shapiro

Fault Parameter Estimation with Data Assimilation on Infrasound Variations due to Big Earthquakes

Hiromichi Nagao Naoki Kobayashi Shin’ya Nakano Tomoyuki Higuchi


18


15:30‐17:10 Gaussian Mixtures David Marchette


III Uwe Hanebeck Wolfgang Koch Marcus Baum

Multiple Target Tracking

Mark Silbert

Deployment Strategies for Sensor Networks

Jean Roy

15:30

Adaptive Gaussian Mixture Filter Based on Statistical

Linearization Marco Huber

Tracking Rectangular and Elliptical Extended Targets Using Laser Measurements

Karl Granström Christian Lundquist Umut Orguner

Using Symmetric State Transformations for Multi‐

Target Tracking Marcus Baum Uwe Hanebeck

A Coverage Dominance Approach for Sensor

Deployment Optimization Albert Hung Ren Ko

Anne‐Laure Jousselme Patrick Maupin

15:55

A Look at Gaussian Mixture Reduction Algorithms

David Crouse Peter Willett

Krishna Pattipati Lennart Svensson

Extended and Multiple Target Tracking: Evaluation of an Hybridization Solution Benjamin Pannetier

Jean Dezert

Myriad Target Tracking in a Dusty Plasma Neil Oxtoby Jason Ralph

Céline Durniak Dmitry Samsonov

Optimal Density of Sensors for Distributed Detection in Single‐Hop Wireless Sensor

Networks Vibhav Kapnadak Edward Coyle

16:20

Sparse Mixture Conditional Density Estimation by

Superficial Regularization Peter Krauthausen

Patrick Ruoff Uwe Hanebeck

Tracking of Aircraft Groups in an Operational Air Surveillance System Wolfgang Konle

Efficient Data Association for 3D Passive Sensors: If I have Hundreds of Targets and Ten

Sensors (or More) Shuo Zhang

Yaakov Bar‐Shalom

Least and Most Favorable Distributions for the Design of Randomly Deployed

Sensor Detection Systems Benedito Fonseca, Jr.

John Gubner

16:45

Component Pruning Based on Entropy Distribution in

Gaussian Mixture PHD Filter Xiaoxi Yan

Chongzhao Han Hongyan Zhu

Video Data and Sonar Data: Real World Data Fusion

Example David Krout Greg Okopal Evan Hanusa

Optimal Gaussian Filtering for Polynomial Systems Applied to Association‐free Multi‐

Target Tracking Marcus Baum Benjamin Noack Frederik Beutler Dominik Itte

Uwe Hanebeck

A Modular Architecture for Optimal Video Analytics

Deployment Benoit Debaque

Rym Jedidi Guillaume Dumont Donald Prevost


19


Classification Robert Lynch

Information Fusion with Imprecise Probabilities

Uwe Hanebeck Alessio Benavoli Benjamin Noack

Networked Information Fusion: Integrating Comm and Fusion Processes for Enhanced Detection in

Urban Scenarios Allen Yang John Lavery

Intelligent Systems for High Level Information Fusion

Javier Bajo

Sequential Bayesian Inference Models for Multiple Object

Classification Sean Martin

The Imprecise Noisy‐OR Gate Alessandro Antonucci

Transmission Control Policy Design for Decentralized

Detection in Tree Topology Sensor Networks

Ashraf Tantawy Xenofon Koutsoukos Gautam Biswas

Implementing a Real‐Time Locating System Based on

Wireless Sensor Networks and Artificial Neural Networks to Mitigate the Multipath Effect

Dante Tapia Ricardo Alonso Sara Rodriguez

Fernando de la Prieta Juan Corchado Javier Bajo

Entropic Priors for Short‐Term Stochastic Process Classification

Francesco Palmieri Domenico Ciuonzo

A Box Particle Filter for Stochastic and Set‐Theoretic Measurements with Association Uncertainty

Amadou Gning Branko Ristic

Lyudmila Mihaylova

Fusion for the Detection of Dependent Signals Using Multivariate Copulas Arun Subramanian Ashok Sundaresan Pramod Varshney

Enhancing Activity Recognition by Fusing Inertial and Biometric

Information Henar Martín Ana Bernardos Paula Tarrío José Casar

Determining Intent Using Hard/Soft Data and Gaussian

Process Classifiers Steven Reece

Stephen Roberts David Nicholson

Chris Lloyd

Classification with Imprecise Likelihoods: A Comparison of

TBM, Random Set and Imprecise Probability Approach

Alessio Benavoli Branko Ristic

Fusing Distributed Muzzle Blast and Shockwave Detections

Janos Sallai Peter Volgyesi Ken Pence Akos Ledeczi

A Customer Support Application Using Argumentation in Multi‐

Agent Systems Jaume Jordán Stella Heras Vicente Julián

Target Classification Using Knowledge‐Based Probabilistic

Models Wenyin Tang Kezhi Mao

Lee Onn Mak Gee Wah Ng Zhaoyang Sun Ji Hua Ang Godfrey Lim

Technical Program—Thursday AM

20


10:00‐12:05 Particle Filtering II

Branko Ristic

Multistatic Tracking I Peter Willett Roy Streit


Filtering I Yaakov Bar‐Shalom

Video Tracking Jason Ralph

10:00 Histogram PMHT with

Particles Samuel Davey

Random Finite Set Markov Chain Monte Carlo Predetection Fusion Ramona Georgescu

Peter Willett

Design of Nearly Constant Velocity Track Filters for Brief

Maneuvers W. Dale Blair

Fusion of Region and Point‐Feature Detections for

Measurement Reconstruction in Multi‐Target Kalman

Tracking Michael Teutsch Wolfgang Krüger Jürgen Beyerer

10:25

Decomposed Particle Filtering and Track Swap Estimation in Tracking Two Closely Spaced

Targets Henk Blom Edwin Bloem

Hybrid Intensity and Likelihood Ratio Tracking (iLRT) Filter for Multitarget

Detection Roy Streit

Bryan Osborn Kirill Orlov

Tracking Maneuvering Targets with a Soft Bound on the Number of Maneuvers

Daniel Sigalov Yaakov Oshman

Multiple Source Data Fusion via Sparse Representation for

Robust Visual Tracking Yi Wu

Erik Blasch Genshe Chen

Li Bai Haibin Ling

10:50

Particle Filter for Extracting Target Label Information

When Targets Move in Close Proximity

Ángel García‐Fernández Mark Moreland Jesús Grajal

Clutter Rejection by Clustering Likelihood‐Based

Similarities Evan Hanusa David Krout Maya Gupta

Target Localization and Course Change Detection Using Bearing and Bearing

Rate Measurements Julian Hörst Marc Oispuu

Bicycle Tracking Using Ellipse

Extraction Tohid Ardeshiri Fredrik Larsson

Fredrik Gustafsson Thomas Schön Michael Felsberg

11:15

Particle Based Probability Density Fusion With

Differential Shannon Entropy Criterion Jiří Ajgl

Miroslav Šimandl

A Comparison of the ML‐PDA and the ML‐PMHT Algorithms

Steven Schoenecker Peter Willett

Yaakov Bar‐Shalom

Sequential Multiple‐Model Detection of Target

Maneuver Termination Yu Liu

X. Rong Li

Context‐Aided Tracking with an Adaptive Hyperspectral

Sensor Andrew Rice Juan Vasquez

11:40

Forecasting Probability of Target Presence for Ping

Control in Multistatic Sonar Networks Using Detection

and Tracking Models Cherry Wakayama Doug Grimmett Zelda Zabinsky

Visual Tracking with

Generative Template Model based on Riemannian

Manifold of Covariances Marcus Chen Sze Kim Pang Tat Jen Cham Alvina Goh

Technical Program—Thursday AM

21


Navigation I Fredrik Gustafsson

Belief Functions—Applications Pierre Valin

Hard/Soft Information Fusion: New Data Sets and Innovative Architectures

James Llinas John Lavery

Mission Planning and Execution Kellyn Rein

Navigation and SAR Auto‐focusing Based on the Phase Gradient

Approach Zoran Sjanic

Fredrik Gustafsson

Multisensor Data Fusion and Belief Functions for Robust

Singularity Detection in Signals Gwénolé Le Moal George Moraru Philippe Véron Marc Douilly Patrice Rabaté

A COIN‐Inspired Synthetic Dataset for Qualitative Evaluation of Hard

and Soft Fusion Systems Jacob Graham Jeffrey Rimland

David Hall

Modeling Fighter Aircraft Mission Survivability

Tina Erlandsson Lars Niklasson

Per‐Johan Nordlund Håkan Warston

Robust Regularized Particle Filter for Terrain Navigation Achille Murangira Christian Musso Karim Dahia

Jean‐Michel Allard

Edge Detection in Color Images Based on DSmT Jean Dezert Zhun‐ga Liu

Grégoire Mercier

Evidence Combination for Hard and Soft Sensor Data Fusion

Sayandeep Acharya Moshe Kam

Optimizing Collection Requirements Through Analysis of

Plausible Impact Khiem Tong

Sanchieh Jay Yang Moises Sudit

Jared Holsopple

Probabilistic Road Estimation and Lane Association Using Radar

Detections Christian Adam Robin Schubert Norman Mattern Gerd Wanielik

Change Detection from Remote Sensing Images Based on Evidential Reasoning

Zhun‐ga Liu Jean Dezert

Grégoire Mercier Quan Pan

Yong‐mei Cheng

Identification of Human‐Interaction Touch Points for

Intelligence Analysis Information Fusion Systems Michael Jenkins Ann Bisantz

Activity Sequence Learning in Mission Critical Tasks

Alper Caglayan Distin Burke Laura Stroh Subrata Das

A Multi‐Sensor Circular Particle Filter Applied to the Fusion of the

GPS‐L2C Channels Georges Stienne Serge Reboul Monir Azmani

Jean‐Bernard Choquel Mohammed Benjelloun

Application of Referee Functions to the Vehicle‐Borne Improvised

Explosive Device Problem Frédéric Dambreville

Hard Sensor Fusion for COIN Inspired Situation Awareness

Matthew Baran Donald Natale Richard Tutwiler Christopher Griffin John Daughtry

Matthew McQuillan Jeffrey Rimland

David Hall

Search Analysis for the Underwater Wreckage of Air

France Flight 447 Lawrence Stone Colleen Keller Thomas Kratzke Johan Strumpfer

A Fault Tolerant State Estimation Framework with Application to UGV Navigation in Complex

Terrain Abhijit Sinha

Abir Mukherjee Xia Liu

Simon Monckton Greg Broten

Entropy on Interval‐valued Intuitionistic Fuzzy Sets and Its Application in Multi‐attribute

Decision Making YingJun Zhang PeiJun Ma XiaoHong Su ChiPing Zhang

Continuous Preservation of Situational Awareness through

Incremental/Stochastic Graphical Methods

Geoff Gross Rakesh Nagi

Kedar Sambhoos

Technical Program—Thursday PM

22


13:00‐15:05 Finite Set Statistics: Tracking Applications

Ba Ngu Vo

Multistatic Tracking II Peter Willett Roy Streit


Filtering II Henk Blom

Resource Management & Scheduling Jean Feuillet

13:00

Nonlinear Filtering Using Measurements Affected by Stochastic, Set‐Theoretic and

Association Uncertainty Branko Ristic Amadou Gning

Lyudmila Mihaylova

Multiple Detection Probabilistic Data Association Filter for Multistatic Target

Tracking Biruk Habtemariam R. Tharmarasa Thia Kirubarajan Douglas Grimmett Cherry Wakayama

Comparing the State Estimates of a Kalman Filter to a Perfect IMM Against a

Maneuvering Target Mark Silbert

Shahram Sarkani Thomas Mazzuchi

A Theoretical Look at Information‐Driven Sensor

Management Criteria Edson Aoki

Arunabha Bagchi Pranab Mandal

Yvo Boers

13:25

Multi‐target Tracking for Measurement Models with Additive Contributions

Frederic Thouin Santosh Nannuru Mark Coates

A Polynomial‐Adaptive Scheme for Bayesian Tracking

Jason Aughenbaugh Jason Kurtz Brian La Cour

Object Tracking in Urban Intersections: Active

Interacting Multi Model Filter with Handling of

Uncertainties of Map Matching

Helgo Dyckmanns Richard Matthaei Markus Maurer Bernd Lichte

Optimal Allocation of Multi‐Platform Sensor Resources for Multiple Target Tracking

Gary Asnis Samuel Blackman

13:50

Sequential Monte Carlo Method for the iFilter

Marek Schikora Wolfgang Koch

Roy Streit Daniel Cremers

SPECSweb Post‐Tracking Classification Method Dough Grimmett Cherry Wakayama

Equivalent‐Model Augmentation for Variable‐Structure Multiple‐Model

Estimation Jian Lan X. Rong Li

Decentralized Cooperative Urban Tracking of Multiple Ground Targets by a Team of

Autonomous UAVs Michael Hirsch

Héctor Ortiz‐Peña Moises Sudit

14:15

Particle Markov Chain Monte Carlo for Bayesian Multi‐

target Tracking Anh‐Tuyet Vu Ba‐Ngu Vo Rob Evans

A Gaussian Mixture Motion Model and Contact Fusion Applied to the Metron Data

Set Kathrin Wilkens Martina Daun

Polytopic Model Estimation Using Dirichlet Prior

Vesselin Jilkov Jaipal Katkuri X. Rong Li

Implementing Interval Algebra to Schedule Mechanically Scanned Multistatic Radars Richard Focke Leon Wabeke

Johan de Villiers Michael Inggs

14:40

Pedestrian Tracking Using Random Finite Sets Stephan Reuter Klaus Dietmayer

Performance Analysis of Adaptive Probabilistic Multi‐Hypothesis Tracking with the

Metron Data Sets Christian Hempel Tod Luginbuhl Jason Pacheco

Linear Optimal Estimation Problems in Systems with

Actuator Faults Daniel Sigalov Yaakov Oshman

Mutual Information Scheduling for Ranking

Hamza Aftab Nevin Raj Paul Cuff

Sanjeev Kulkarni


23


Signal and Image Processing

Nasser Nasrabadi

Soft Fusion and Social

Anthropology Gabriel Jakobson Nina Kohli‐Laven

Situation Assessment Elisa Shahbazian

Adaptive Model‐Based Visual Stabilization of Image Sequences

Using Feedback Evgeniya Bogatyrenko

Uwe Hanebeck

Situation Management in Counter‐Insurgency Operations: An Overview of Operational Art and Relevant Technologies

James Llinas

The Role of Information Fusion in Providing Analytical Rigor for

Intelligence Analysis Michael Moskal Moises Sudit

Kedar Sambhoos

Parallel Flux Tensor Analysis for Efficient Moving Object Detection

Kannappan Palaniappan Ilker Ersoy

Guna Seetharaman Shelby Davis

Praveen Kumar Raghuveer Rao

Richard Linderman

Bayesian Analysis of Sentiment Surveys

Jose Alvedra Laura Stroh

Alper Caglayan Subrata Das

Modeling a Probabilistic Ontology for Maritime Domain Awareness

Rommel Carvalho Richard Haberlin Paulo Costa

Kathryn Laskey KC Chang

Hyperspectral Image Enhancement Based on Sensor

Simulation and Vector Decomposition

Ankush Khandelwal K. S. Rajan

Toward Formal Reasoning with Epistemic Policies about Information Quality in the

Twittersphere Brian Ulicny

Mieczyslaw Kokar

Improving Maritime Situational Awareness by Fusing Sensor Information and Intelligence

A.C. van den Broek R.M. Neef

P. Hanckmann S.P van Gosliga D. van Halsema

Hierarchical Fusion Using Vector Quantization for Visualization of

Hyperspectral Images Parul Shah

Jayalakshimi M. Shabbir Merchant

Uday Desai

Panel Discussion

Social, Cultural, and Cognitive Aspects of Situation Management:

Issues and Challenges John Salerno James Llinas

Gabriel Jakobson

Enterprise Information Fusion for Real‐time Business Intelligence

Gautam Shroff Puneet Agarwal

Lipika Dey

Fusion of Live Audio Recordings

for Blind Noise Reduction Aaron Ballew

Aleksandar Kuzmanovic Chung Chieh Lee


24


15:30‐17:10

Density Representations for

Tracking Lawrence Stone

Track Fusion Mahendra Mallick

Radar Target Tracking Dale Blair

Robust Nonlinear Filtering

Mark Morelande

15:30

A Spline Filter for Multidimensional Nonlinear

State Estimation Xiaofan He

Ratnasingham Tharmarasa Donna Kocherry Bhashyam Balaji Thia Kirubarajan

Heterogeneous Track‐to‐Track Fusion Ting Yuan

Yaakov Bar‐Shalom Xin Tian

Dismount Tracking by Fusing Measurements from a Constellation of Bistatic Narrowband Radar Chris Kreucher

Target Positioning and Tracking in Degenerate

Geometry Chun Yang

Lance Kaplan Erik Blasch

Michael Bakich

15:55

Online Clutter Estimation Using a Gaussian Kernel

Density Estimator for Target Tracking Xin Chen

R. Tharmarasa Thia Kirubarajan Michel Pelletier

On the Globalized Likelihood Function for Exact Track‐to‐Track Fusion at Arbitrary

Instants of Time Felix Govaers Wolfgang Koch

GMTI Tracking in the Presence of Doppler and

Range Ambiguities Michael Mertens Ulrich Nickel

Altitude Estimation for 3‐D Tracking with Two 2‐D Radars

Yothin Rakvongthai Jifeng Ru

Siva Sivananthan Soontron Oraintara

16:20

Progressive Correction for Deterministic Dirac Mixture

Approximations Patrick Ruoff

Peter Krauthausen Uwe Hanebeck

Track‐to‐Track Association with Augmented State

Richard Osborne Yaakov Bar‐Shalom

Peter Willett

Adaptive Air‐to‐Air Target Tracking in Severe Jamming

Environment Michael Feldmann

Ulrich Nickel Wolfgang Koch

Enhanced Sequential Nonlinear Tracking Filter with

Denoised Pseudo Measurements Gongjian Zhou Nenglong Zhao Tianjiao Fu Taifan Quan

Thia Kirubarajan

16:45 Analysis of Track Fusion Using the Reduced State Estimator

George Foster

Recursive LMMSE Centralized Fusion with Recombination of Multi‐Radar Measurements

Zhangsheng Duan Yimin Wang X. Rong Li

Improving Results of Rational Non‐Linear Observation Functions Using a Kalman

Filter Correction Thomas Féraud Roland Chapuis Romualk Aufrère Paul Checchin


25


Learning Johan Schubert

Data and Information Representation Subrata Das

Natural Language Processing & Information

Retrieval Stuart Shapiro

Biopharma Safety Signal Intelligence

Charlynn Clayton Roy Streit

Supervised Learning in CINets Paul Bruhn

Jeffrey Weinschenk

Fusion of Disparate Information Through Joint Embeddings

David Marchette Jeffrey Solka

Fusion Analysis of Information Retrieval Models on Biomedical

Collections Yanjun Li Nigato Shi D. Frank Hsu

Practical Experience in Enterprise Terminology Management

Andrew Lin

Distributed Active Learning with Application to Battery Health

Management Huimin Chen X. Rong Li

Measurement‐to‐Track Association for Nontraditional

Measurements Ronald Mahler

Contexts, Co‐texts and Situations in Fusion Domain Giovanni Ferrin Lauro Snidaro

Gian Luca Foresti

Pharmacovigilance, Signal Detection and Signal Intelligence

Overview Atsuko Shibata Manfred Hauben

Effective Multimodal Information Fusion by Structure Learning

Jana Kludas Stéphane Marchand‐Maillet

Same World, Different Words: Augmenting Sensor Output

through Semantics Anne‐Laure Jousselme Valentina Dragos

Anne‐Claire Boury‐Brisset Patrick Maupin

Fusion of Natural Language Propositions: Bayesian Random

Set Framework Adrian Bishop Branko Ristic

Data Fusion Aspects of Pharmacovigilance

Roy Streit Jeffrey Silver

On Bayesian Interpretation of Fact‐finding in Information

Networks Dong Wang

Tarek Abdelzaher Hossein Ahmadi Jeff Pasternack

Dan Roth Manish Gupta Jiawei Han

Omid Fatemieh Hieu Le

Charu Aggarwal

Fusion of Simplified Entity Networks from Unstructured Text

Chan Ho Keong Zhang Xing Hu Lee Hian Beng

Key Intelligence Topics (KITs) and Key Intelligence Questions (KIQs)

in Safety Signal Intelligence Charlynn Clayton

Andrew Lin Janine Pitt

Technical Program—Friday AM

26


10:00‐12:05 Particle Filtering III Lyudmila Mihaylova

Information Fusion Performance Evaluation I Erik Blasch

Applications of Sensor Fusion

Adnan Bubalo

Information Processing for Wireless Sensor

Networks Anne‐Laure Jousselme

10:00

Ground Multiple Target Tracking with a Network of Acoustic Sensor Arrays Using

PHD and CPHD Filters Emre Özkan

Mehmet Guldogan Umut Orguner

Fredrik Gustafsson

Performance Measures for Multiple Target Tracking

Problems A.A. Gorgi

R. Tharmarasa Thia Kirubarajan

Motion Classification for Cross Traffic in Urban

Environments Using Laser and Radar

Richard Matthaei Helgo Dyckmanns

Bernd Lichte Markus Maurer

Localization‐Based Detection Under Network Losses

Nageswara Rao

10:25

Data Fusion in a Multistatic Radar Network Using

Covariance Intersection and Particle Filtering Gokhan Soysal Murat Efe

Incorporating Track Uncertainty into the OSPA

Metric Sharad Nagappa Daniel Clark

Ronald Mahler

Semi‐Active Guidance Using Event Driven Tracking

Jason Ralph James Davies

Accuracy Analysis for TDOA

Localization in Sensor Networks

Regina Kaune Julian Hörst

Wolfgang Koch

10:50

Combined Particle and Smooth Variable Structure Filtering for Nonlinear Estimation Problems S. Andrew Gadsden

Darcy Dunne Saeid Habibi

Thia Kirubarajan

Track Purity and Current Assignment Ratio for Target Tracking and Identification

Evaluation Erik Blasch Pierre Valin

An Algorithm for Real Time Estimation of the Flexible

UAV Structural Motions Using a Video‐based System Vincenzo Baraniello

Marco Cicala Luca Cicala

Channel Aware Target Tracking in Multi‐Hop

Wireless Sensor Networks Xiaojun Yang Ruixin Niu

Engin Masazade Pramod Varshney

11:15

Posterior Cramér‐Rao Bounds for Doppler Biased Multistatic

Range‐only Tracking Xiufeng Song Peter Willett Shengli Zhou

A Bayesian Inference Approach for Batch Trajectory Estimation

Melita Hadzagic Hannah Michalska

Distributed Classification of Multiple Moving Targets with

Binary Wireless Sensor Networks

Domenico Ciuonzo Aniello Buonanno Michele D’Urso

Francesco Palmieri

11:40

Track‐Before‐Fuse Error Bounds for Tracking Passive

Targets Ben Shapo

Chris Kreucher

Estimation and Tracking of Excavated Material in Mining

Christopher Innes Eric Nettleton

Arman Melkumyan

Technical Program—Friday AM

27


Navigation II Yaakov Oshman

Information Fusion Under Unknown Dependencies

Uwe Hanebeck Simon Julier

Benjamin Noack

Network Science from the Data Fusion Perspective I

James Ferry

Context‐based Information Fusion Strategies Jesús Garcia Lauro Snidaro Ingrid Visentini José Molina

Improved Orientation Estimation in Complex Environments Using

Low‐Cost Inertial Sensors Mark Johnson

Thuraiappah Sathyan

Covariance Intersection in Nonlinear Estimation Based on Pseudo Gaussian Densities

Benjamin Noack Marcus Baum Uwe Hanebeck

Topological Feature Based Classification Leto Peel

Neighborhood‐based Regularization of Proposal Distribution for Improving

Resampling Quality in Particle Filters

Enrique Martí Jesús García José Molina

Second Order Nonlinear Uncertainty Modeling in

Strapdown Integration Using MEMS IMUs Miao Zhang Jeroen Hol Laurens Slot Henk Luinge

Empirical Case‐Studies of State Fusion via Ellipsoidal Intersection

Joris Sijs Mircea Lazar

Probabilistic Community Detection in Networks

James Ferry J. Oren Bumgarner Stephen Ahearn

Exploitation of a Priori Information for Tracking Maritime

Intermittent Data Sources Giulia Battistello Martin Ulmke

Navigation in GPS‐Denied Environments

Xiao Ma Seddik Djouadi Samir Sahyoun

Paul Crilly Stephen Smith

Information Measures in Distributed Multitarget Tracking

Murat Uney Daniel Clark Simon Julier

Eigenspace Analysis for Threat Detection in Social Networks

Benjamin Miller Michelle Beard Nadya Bliss

On the Representation and Exploitation of Context Knowledge in a Harbor Surveillance Scenario

Jesús García Juan Gomez‐Romero

Miguel Patricio José Molina

Galina Rogova

Adaptive Kalman Filter for Orientation Estimation in Micro‐

sensor Motion Capture Shuyan Sun Xiaoli Meng Lianying Ji

Zhipei Huang Jiankang Wu

Analysis of Set‐Theoretic and Stochastic Models for Fusion Under Unknown Correlations

Marc Reinhardt Benjamin Noack Marcus Baum Uwe Hanebeck

Adaptive Network Dynamics—Modeling and Control of Time‐Dependent Social Contacts

Ira Schwartz Leah Shaw

Maxim Shkarayev

Fusion Based Safety Application for Pedestrian Detection with

Danger Estimation Fernando García

Arturo de la Escalera José Armingol Jesús García James Llinas

A Social Network Analysis of the Information Fusion Community

Fredrik Johansson Christian Mårtenson Pontus Svenson

inContexto: A Fusion Architecture to Obtain Mobile Context

Gonzalo Gil Antonio Berlanga de Jesús

José Molina

Technical Program—Friday PM

28


13:00‐15:05 Finite Set Statistics:

PHD Methods Ronald Mahler

Information Fusion

Performance Evaluation II Erik Blasch

Nonlinear Target Tracking

Tod Luginbuhl

Image Fusion David Zhang

13:00

Grid Based PHD Filtering by Fast Fourier Transform

Michele Pace Huilong Zhang

Performance Prediction of Feature Aided Track‐to‐Track

Association Shozo Mori

Chee‐Yee Chong KC Chang

A Fuse‐Before‐Track Approach to Target State Estimation Using Passive

Acoustic Sensors Chris Kreucher Ben Shapo

Method of Image Fusion and Enhancement Using Mask

Pyramid David Zhang Sek Chai

Gooitzen Van der Wal

13:25

Fast Sequential Monte Carlo PHD Smoothing Sharad Nagappa Daniel Clark

Optimal Placement of Heterogeneous Sensors in

Target Tracking Chun Yang

Lance Kaplan Erik Blasch

Michael Bakich

Bearings‐Only Target Motion Analysis of a Source in a Circular Constant Speed Motion from a Non‐

Maneuvering Platform Julien Clavard Denis Pillon

Annie‐Claude Pignol Claude Jauffret

An Efficient Adaptive Fusion Scheme for Multifocus

Images in Wavelet Domain Using Statistical Properties of

Neighborhood Parul Shah

Shabbir Merchant Uday Desai

13:50

Weight Partitioned Probability Hypothesis

Density Filters Darcy Dunne

Thia Kirubarajan

Evaluation of Visual Tracking in Extremely Low Frame Rate Wide Area Motion Imagery

Haibin Ling Yi Wu

Erik Blasch Genshe Chen Haitao Lang

Li Bai

Angle‐only Filtering in 3D using Modified Spherical and Log Spherical Coordinates

Mahendra Mallick Lyudmila Mihaylova Sanjeev Arulampalam

Yanjun Yan

An Optimization‐based Approach to Fusion of Multi‐

Exposure, Low Dynamic Range Images Ketan Kotwal

Subhasis Chaudhuri

14:15

CPHD Filtering with Unknown Clutter Rate and Detection

Profile Ronald Mahler Ba Tuong Vo Ba Ngu Vo

Performance Evaluation of Local State Estimation

Methods in Bearings‐only Tracking Problems Ondřej Straka Jindřich Duník

Miroslav Šimandl

An Efficient Implementation of the Second Order

Extended Kalman Filter Michael Roth

Fredrik Gustafsson

A Novel Image Fusion Scheme by Integrating Local Image Structure and Directive

Contrast Zhang‐Shu Xiao Chong‐Xun Zheng

14:40

Particle Labeling PHD Filter for Multi‐Target Track‐Valued

Estimates Hongyan Zhu

Chongzhao Han Yan Lin

Performance Evaluation for Particle Filters Rémi Chou Yvo Boers Martin Podt

Matthieu Geist

Track Splitting Technique for the Contact Lens Problem

Xin Tain Yaakov Bar‐Shalom

Genshe Chen Khanh Pham Erik Blasch


29


Fusion for Collaborative Sensing Liya Dai

Richard Baraniuk

(Distributed) Multi Sensor

Fusion Engines I Lauro Snidaro

Miranda van Lersel Jacek Misiurewicz

Network Science from the Data Fusion Perspective II

James Ferry

Decision Support Joachim Biermann

Kellyn Rein

A Dynamic Sensor Placement Algorithm for Dense Sampling

Vineet Bhatawadekar Duc Fehr

Vassilios Morellas Nikolaos Papanikolopoulos

Automatic Adaptation in Classification Algorithms Fusing

Data from Heterogeneous Sensors Robert Nowak

Jacek Misiurewicz Rafał Biedrzycki

Bow‐tie Decomposition in Directed Graphs

Rong Yang Leyla Zhuhadar Olfa Nasraoui

Definition of bba and Quality of Fusion in C2 Systems

Ksawery Krenc Adam Kawalec

Tadeusz Pietkiewicz

Enhanced Target Tracking Through Infrared‐Visible Image

Fusion Stephen Schnelle Alex Lipchen Chan

Integration of Contextual Information for Tracking

Refinement Ingrid Visentini Lauro Snidaro

Low‐level Multi‐INT Sensor Fusion using Entropic Measures of

Dependence Paul Deignan Mark Wong

Alexander Douglass

Recursive Joint Decision and Estimation Based on Generalized

Bayes Risk Yu Liu

X. Rong Li

Heterogeneous Multi‐Metric

Learning for Multi‐Sensor Fusion Haichao Zhang

Nasser Nasrabadi Thomas Huang Yanning Zhang

Low‐complexity Wireless Communication Modeling for Information Flow Control in

Sensor Networks Eelke van Foeken

Maurice Kwakkernaat

Network Discovery Using Wide‐

Area Surveillance Data Steven Smith

Andrew Silberfarb Scott Philips Edward Kao

Christian Anderson

Cautious OWA and Evidential Reasoning for Decision Making

under Uncertainty Jean‐Marc Tacnet

Jean Dezert

Non‐parametric Bayesian Modeling and Fusion of Spatio‐temporal Information Sources

Priyadip Ray Lawrence Carin

Sensors Simulation Environment for Sensor Data Fusion

Pavel Pohanka Juraj Hrabovský Michal Fiedler

A Local Dependence Measure and Its Application to Screening for High Correlations in Large Data

Sets Kumar Sricharan Alfred Hero III

Bala Rajaratnam

User Information Fusion Decision Making Analysis with the C‐OODA

Model Erik Blasch

Richard Breton Pierre Valin Eloi Bosse

Secure Communication for Mobile Agents in an Adversarial

Environment Sourabh Bhattacharya

Tamer Başar

Assessment Procedure with Specific ROC Curves for

Comparison of Fusion Engines Timo Sartor

Norbert Scherer‐Negenborn Eckart Michaelsen

Klaus Jäger

A Knowledge‐Based System for Multiple Hypothesis Sensemaking

Support Jean Roy

Alexandre Bergeron Guyard


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15:30‐17:10

Grid‐based Methods Darko Musicki

MHT Advancements David Nicholson

15:30

Non‐linear Bayesian Filtering by Convolution Method Using

Fast Fourier Transform Huilong Zhang

Accurate Murty’s Algorithm for Multitarget Top

Hypothesis Extraction Xiaofan He

Ratnsaingham Tharmarasa Michel Pelletier Thia Kirubarajan

15:55

Particle‐Inspired Motion Updates for Grid‐Based

Bayesian Trackers Jason Aughenbaugh

Brian La Cour

Multiple Hypothesis Tracking with Multiframe Assignment Using Range and Range‐rate

Measurements Thuraiappah Sathyan Sanjeev Arulampalam Mahendra Mallick

16:20

Sparsity‐aware Kalman Tracking of Target Signal

Strengths on a Grid Shahrokh Farhmand Georgios Biannakis

Geert Leus Zhi Tian

The Set MHT David Crouse Peter Willett

Lennart Svensson Daniel Svennson Marco Guerriero

16:45

Aggregate Surveillance: A Cardinality Tracking Approach

Stefano Coraluppi Craig Carthel


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(Distributed) Multi Sensor Fusion Engines II Lauro Snidaro

Miranda van Lersel Jacek Misiurewicz

Situation and Threat Assessment

for Urban Scenarios in a Distributed Adaptive System Sebastiaan van den Broek

Patrick Hanckmann Maarten Ditzel

Dynamic Process Integration Framework: A Novel Approach to

Efficient Implementation of Robust Distributed Information

Fusion Systems Gregor Pavlin Patrick de Oude

Michiel Kamermans Frans Groen

System Design for Distributed Adaptive Observation Systems

Maarten Ditzel Leon Kester

Sebastiaan van den Broek

An Information Fusion Semantic and Service Enablement Platform:

the FusionLab Approach Amandine Bellenger Xavier Lerouvreur Sylvain Gatepaille Habib Abdulrab

Jean‐Philippe Kotowicz

Social Program

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Ice Breaker Reception Tuesday July 5, 18:00‐19:30, Hyatt Regency Chicago

The Ice Breaker reception will be held at the Hyatt Regency Chicago in the Regency Ballroom C/D. Conference attendees will enjoy wine or beer and a selection of cheeses.

Welcome Reception Wednesday July 6, Starting at 18:00, Willis Tower, Chicago

The Welcome reception will be held on the 99th Floor of the Willis Tower (formerly known as the Sears Tower). Buses will transport conference attendees from the Hyatt Regency to the Willis Tower starting at 17:45 at the West Tower of the Hyatt Regency. Reception will include heavy hors d’oeuvres and an open bar. This will be a spectacular event and is the best vantage point to see the city of Chicago. The Willis Tower stands 110 stories and is the tallest building in North America and the fifth tallest in the world at 1,450 feet. On a clear day, four states – Illinois, Indiana, Michigan, and Wisconsin – can be seen from the Skydeck. The tower took three years to build and was completed in 1973. Conference attendees will ascend 103 floors above street level as they visit the brand new Willis Tower Skydeck, which opened in early July 2009.

The new facility features retractable glass bay windows which extend more than 4 feet off the west side of the building, enabling visitors to peer 1,353 feet down over the edge. While experiencing the city from above, conference attendees will enjoy several interactive educational attractions that highlight the iconic landmark and celebrate Chicago sports, architecture, pop‐culture, history, food, music and people.

Social Program

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Conference Banquet Thursday July 7, Starting at 19:00, Navy Pier

The conference gala banquet will be held in the Grand Ballroom at the Navy Pier. Navy Pier is a short walk from the Hyatt Regency. There will be limited transportation (located at the West Tower of the Hyatt Regency) available for conference attendees that do not want to enjoy the short walk to the Navy Pier. The cocktails will begin at 19:00.

Located on Lake Michigan, just east of Chicago’s downtown districts, Navy Pier has been a Chicago landmark since it first opened in 1916. Originally designed as both a shipping and recreational facility, the Pier also served as a military training site during two world wars.

Since the relatively recent ballroom renovation, which restored the space to appear as it did in 1916, conference attendees will revel in the magnificence of the past with all the amenities and services of the present. In fact this venue is equipped with a five (5)‐foot‐high elevated stage, as well as 3,000 Tivoli lights for dramatic ambiance and décor. The 80‐foot‐high domed ceiling features massive beams that arch over the space, adding a bit of architectural interest to the historic facility.

Entertainment for the gala banquet includes the Big Fun! With Jake and Elwood. With horns blarin’ and guitars screamin’, they’ll wear out even the most energetic conference attendee with an incredible combination of musical genres including Motown, Swing, Funk, and Rock and Roll classics from the 1970s, 1980s and 1990s.

Fun Run Thursday July 7, Starting at 06:30, Hyatt Regency

This year marks the first ever Fusion 5K Fun Run which will be held Thursday morning. The purpose of this fun run is to give back to the community which hosts our conference. This year the proceeds from the fun run registration will benefit Chicago’s Children’s Memorial Hospital Circle of Friends.

The Children’s Memorial Hospital is dedicated to the health and well‐being of all children, delivering pediatric health care, research into the prevention, causes and treatment of diseases that affect children, and education for physicians, nurses and allied health professionals. We are very excited to be hosting this event and look forward to meeting you at the starting line. The first 50 participants will receive a 5K Fun Run t‐shirt.

General Information

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Meeting Site Hyatt Regency Chicago 151 East Wacker Dr. Chicago, Illinois, USA 60601 Tel: +1 312 565 1234 chicagoregency.hyatt.com

Registration Desk Hours of Operation:

Tuesday, 5 July: 7:00‐18:00

Wednesday, 6 July 7:30‐18:00

Thursday, 7 July : 8:00‐17:00

Friday, 8 July: 8:00‐17:00 Tutorial participants will obtain tutorial notes related to their registration.

Regular and Student Registration Fee Includes: Access to plenary, regular, special sessions, and panel discussions Conference kit, including this lovely program

Three luncheons Two coffee breaks per day Icebreaker reception at the Hyatt Regency Chicago Welcome reception at the Willis Tower* Conference Banquet at the Navy Pier One copy of the CD‐ROM proceedings One year ISIF membership

* Regular registration fee only

Facilities Projectors and video equipment will be available in each room. Computers will not be supplied. Note there will be NO Macintosh computer or video player support. Lapel microphones and laser pointers will be available for all speakers.

Schedule of Events

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Tuesday, July 5 08:00‐12:00 Tutorials 13:00‐17:00 Tutorials 16:20‐18:00 Outstanding Student

Paper Special Session 18:00‐19:30 Ice Breaker Reception

Wednesday, July 6 08:30‐09:30 Plenary Session 09:30‐10:00 Break 10:00‐12:05 Technical Session 12:05‐13:00 Lunch 13:00‐15:05 Technical Session 15:05‐15:30 Break 15:30‐17:10 Technical Session 18:00‐21:00 Welcome Reception

Thursday July 7 08:30‐09:30 Plenary Session 09:30‐10:00 Break 10:00‐12:05 Technical Session 12:05‐13:00 Lunch 13:00‐15:05 Technical Session 15:05‐15:30 Break 15:30‐17:10 Technical Session 19:00‐22:00 Gala Banquet

Friday, July 8 08:30‐09:30 Plenary Session 09:30‐10:00 Break 10:00‐12:05 Technical Session 12:05‐13:00 Lunch 13:00‐15:05 Technical Session 15:05‐15:30 Break 15:30‐17:10 Technical Session

Conference Site

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Documents

Schedule Events Conference - isif.orgisif.org/fusion/proceedings/Fusion_2011/data/program.pdfWelcome to Fusion 2011 4 While you are here, there is much to see in Chicagoland (that