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Machine learning and signal processingBioinformatics, biomedical technology, energy, speech, video,...
Big Data Argentina 2013
Diego Milone
s inc( ) i C O N I C E TC O N I C E T
Research Center for Signals,Systems and Computational Intelligence
Departament of InformaticsFaculty of Engineering and Water Sciences (FICH)
Universidad Nacional del Litoral (UNL)National Scientific and Technical Research Council (CONICET)
August 27, 2013
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About sinc(i) Big data?
People at sinc(i)Research Staff
Cesar E. Martínez UNL-UNERDiego H. Milone CONICET-UNLDiego R. Tomassi CONICET-UNLGastón Schlotthauer UNER∗CONICETGeorgina S. Stegmayer CONICET-UTN-UNLLeandro E. Di Persia CONICET-UNLLeandro D. Vignolo CONICET-UNLLeonardo L. Giovanini CONICET-UNLH. Leonardo Rufiner CONICET-UNL-UNERE. Marcelo Albornoz CONICET-UNLMaría Eugenia Torres UNER∗UNL-CONICET
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 2 / 32
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About sinc(i) Big data?
People at sinc(i)Research Staff
Cesar E. Martínez UNL-UNERDiego H. Milone CONICET-UNLDiego R. Tomassi CONICET-UNLGastón Schlotthauer UNER∗CONICETGeorgina S. Stegmayer CONICET-UTN-UNLLeandro E. Di Persia CONICET-UNLLeandro D. Vignolo CONICET-UNLLeonardo L. Giovanini CONICET-UNLH. Leonardo Rufiner CONICET-UNL-UNERE. Marcelo Albornoz CONICET-UNLMaría Eugenia Torres UNER∗UNL-CONICET
Graduate StudentsAnalía ChernizCarlos Pais+
David CampoFernando Sato+
Guido SanchezGuillermo LealeIván GareisIván Peralta+
José ChelottiLeandro BugnonLeonardo LópezMatías GerardMariano RubioloMariela UhrigMarina Murillo
Milton PividoriRomán RolónRubén AcevedoSebastián VanrellSergio Burgos+
Tomás Molas Gimenez
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 2 / 32
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About sinc(i) Big data?
People at sinc(i)Research Staff
Cesar E. Martínez UNL-UNERDiego H. Milone CONICET-UNLDiego R. Tomassi CONICET-UNLGastón Schlotthauer UNER∗CONICETGeorgina S. Stegmayer CONICET-UTN-UNLLeandro E. Di Persia CONICET-UNLLeandro D. Vignolo CONICET-UNLLeonardo L. Giovanini CONICET-UNLH. Leonardo Rufiner CONICET-UNL-UNERE. Marcelo Albornoz CONICET-UNLMaría Eugenia Torres UNER∗UNL-CONICET
Undergraduate StudentsAlejandro FortvillaAlejandro SartoriBrisa BasconselCarim FadilCecilia BalestieriCésar ArrasinCristian YonesFernando Guerin
Franco VictorioEloisa ColignanHilarie GrieveLeandro BurruchagaMarcelo CaamañoMaría ChelottiMartín Musachio
Neri CibauNicolás MastagliaPablo SosaRamiro AlvarezRomina GalarzaWalter Schulte
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 2 / 32
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About sinc(i) Big data?
People at sinc(i)Research Staff
Cesar E. Martínez UNL-UNERDiego H. Milone CONICET-UNLDiego R. Tomassi CONICET-UNLGastón Schlotthauer UNER∗CONICETGeorgina S. Stegmayer CONICET-UTN-UNLLeandro E. Di Persia CONICET-UNLLeandro D. Vignolo CONICET-UNLLeonardo L. Giovanini CONICET-UNLH. Leonardo Rufiner CONICET-UNL-UNERE. Marcelo Albornoz CONICET-UNLMaría Eugenia Torres UNER∗UNL-CONICET
Former StudentsAlejandro AzarioAlejandro RonsoniBelén CrollaCarlos Sánchez Reinoso+
Carolina GómezCristian PfarherDamián RichterDiego Evin+
David HaimovichEsteban OsellaGermán ScarelGerman BurgenerGuillermo KorellJuaquín BarreiroJuan Barletta
Juan Pablo VogtLeandro PerrenMatías MeurzetMauro TorrezMónica LaresseSoledad Padron
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 2 / 32
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About sinc(i) Big data?
Big Data 4V∗
∗Modified from SIAM News, Volume 46, Number 6, July/August 2013.
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 5 / 32
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About sinc(i) Big data?
Big Data 4V∗
∗Modified from SIAM News, Volume 46, Number 6, July/August 2013.
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 5 / 32
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About sinc(i) Big data?
Big Data 4V∗
∗Modified from SIAM News, Volume 46, Number 6, July/August 2013.
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 5 / 32
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About sinc(i) Big data?
Big Data 4V∗
∗Modified from SIAM News, Volume 46, Number 6, July/August 2013.
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 5 / 32
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About sinc(i) Big data?
Big Data 4V: Bioinformatics
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 6 / 32
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About sinc(i) Big data?
Big Data 4V: Bioinformatics
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 12 / 32
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About sinc(i) Big data?
Big Data 4V: Bioinformatics
RILsAminoacids
SugarsOrganic acids
Fatty acidsSecondary mets.
Yield traits
Neuron 12
{SSPro
Neuron 7
Fruit firmnessShelf lifeGlycerateMalateFru (inv)
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 13 / 32
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About sinc(i) Big data?
Big Data 4V: Bioinformatics
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 14 / 32
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About sinc(i) Big data?
Big Data 4V: *omesom screenshot
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 15 / 32
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About sinc(i) Big data?
Big Data 4V: Bioinformatics
Proyects:Self-Organization in *omic dataData Integration and Ensemble ClusteringBiological Clustering from Gene OntologyEvolutionary Metabolic Pathway DiscoveryInference of Gene Regulatory NetworksmiRNA Prediction
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 16 / 32
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About sinc(i) Big data?
Big Data 4V: Bioinformatics
Proyects:Self-Organization in *omic dataData Integration and Ensemble ClusteringBiological Clustering from Gene OntologyEvolutionary Metabolic Pathway DiscoveryInference of Gene Regulatory NetworksmiRNA Prediction
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 16 / 32
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About sinc(i) Big data?
Big Data 4V: Audio, image, video
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 17 / 32
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About sinc(i) Big data?
Big Data 4V: Audio, image, video
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 17 / 32
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Speech recognition
t “ en que ”
Speech signal Signal processing and analysis Pattern recognition
Text
ASR System
The problem complexities:Speech continuity, context dependenceInter/intra speaker variabilityThe structures of speechNoise and other distortions
Types of speech recognizers:Vocabulary size: small medium large very large unrestrictedSpeakers: mono- multi- independentSpeaking styles: isolated connected read fluent spontaneousDistortions: robust/non-robust speech recognition
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 18 / 32
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The speech recognition model
ASR System
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 19 / 32
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The speech recognition model
s ( t ) s [ m , k ]
silencio el sótano silencio B E
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está en del comedor
Feature extractionClassifierLanguage model
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 20 / 32
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The speech recognition model
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silencio el sótano silencio B E
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está en del comedor
Feature extractionIndependent Component Analisys in Blind Source SeparationMultiresolution EntropiesLinear-Predictive Sparse CodingEvolutionary Optimization of Wavelet Packets and Filterbanks
ClassifierLanguage model
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 20 / 32
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About sinc(i) Big data?
The speech recognition model
s ( t ) s [ m , k ]
silencio el sótano silencio B E
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está en del comedor
Feature extractionClassifier
Sparse Representations and Classifier EnsemblesCortical Neural NetworksHidden Markov Models with Hidden Markov Trees (HMM-HMT)Discriminative Training for HMM-HMTSpeech Segmentation based on Multiresolution Entropies
Language model
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 20 / 32
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About sinc(i) Big data?
The speech recognition model
s ( t ) s [ m , k ]
silencio el sótano silencio B E
e l s o t a n o
está en del comedor
Feature extractionClassifierLanguage model
Prosody in Language ModelsTime Variant Language Models
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 20 / 32
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About sinc(i) Big data?
Big Data 4V: Audio, image, video
Man-Machine interfaces:Emotions Recognition from Speech
Speaker Recognition
Face Identification
Hand Signs Recognition
Medical applications:Classification of Pathological Voices
Automatic Recognition of Obstructive Sleep Apnoea/Hypopnoea Syndrome
Automatic Detection of Cardiac Pathologies
Chromosome Recognition
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 21 / 32
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Masticatory events: Big Data?
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 23 / 32
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Hidden Markov Models
S Esil sil
bite
chew
chew-bite
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 24 / 32
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Big Data 4V: Energy, smart grid, sensor data
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 25 / 32
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About sinc(i) Big data?
Big Data 4V: Energy, smart grid, sensor data
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 25 / 32
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Big Data 4V: Energy, smart grid, sensor data
Simulation of photovoltaic centrals with dynamic shading
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 27 / 32
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Big Data 4V: Energy, smart grid, sensor data
Evolutionary design of photovoltaic centrals
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 28 / 32
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Big Data 4V: Energy, smart grid, sensor data
Complex Systems:Biological systems:
MetabolismEcologyEpidemiology...
Vehicle autonomy:Vehicle controlAssistive technologyEngine operation...
Networked systems:Power generation and distribution systemsCommunication systems...
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 29 / 32
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About sinc(i) Big data?
Big Data 4V: Energy, smart grid, sensor data
Signal Processing for Magnetic Resonance Solutions
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 30 / 32
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Big Data 4V: Energy, smart grid, sensor data
Signal Processing for Magnetic Resonance Solutions
104
105
106
00.010.02
T2
103
104
105
106
0.0050.01
0.0150.02
T1
NMF, α optimo: 0.70215
0 1 2 3 4 5 6
x 106
0
0.5
1
1.5
2
2.5
3
3.5
4x 10
6
103
104
105
106
00.010.02
T2
103
104
105
106
0.0050.01
0.0150.02
0.025
T1
NMF, α optimo: 0.62319
0 1 2 3 4 5 6 7
x 106
0
1
2
3
4
5
6
x 106
Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 31 / 32
Thank you!
Machine learning and signal processingBioinformatics, biomedical technology, energy, speech, video,...
Big Data Argentina 2013
Diego Milone
s inc( ) i C O N I C E TC O N I C E T
Research Center for Signals,Systems and Computational Intelligence
www.fich.unl.edu.ar/sinc
Departament of InformaticsFaculty of Engineering and Water SciencesUniversidad Nacional del Litoral - CONICET
Ciudad Universitaria UNL - 3000 - Santa Fe - Argentina
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