proceedings - gbv · luis b. almeida [p1a-07] bounded approximation for score function selection...

13
ICA2003 Fourth International Symposium on Independent Component Analysis and Blind Signal Separation April 1-4, 2003, Nara, Japan http://ica2003.jp/ Proceedings Edited by Shun-ichi Amari Andrzej Cichocki Shoji Makino Noboru Murata Sponsored by TAF ^upnBMirhiraMM^B MomrtattaM sew TIB/UB Hannover In cooperation with

Upload: lydien

Post on 04-Dec-2018

217 views

Category:

Documents


0 download

TRANSCRIPT

ICA2003Fourth International Symposium

on Independent Component Analysisand Blind Signal Separation

April 1-4, 2003, Nara, Japanhttp://ica2003.jp/

ProceedingsEdited by

Shun-ichi AmariAndrzej Cichocki

Shoji MakinoNoboru Murata

Sponsored by

TAF ^upnBMirhiraMM^B MomrtattaM

sewTIB/UB Hannover

In cooperation with

ContentsInvited Talk 1 Scott C. Douglas (Southern Methodist University)

(April 2, 9:15-10:00)[IT-1] Blind Source Separation and Independent Component Analysis: A

Crossroads of Tools and Ideas 1Scott C. Douglas

Lecture 1A Theory and Fundamentals(April 2,10:30-12:00)

[L1A-1] Blind Separation of Positive Sources using Non-Negative PCA 11Erklti Oja, MarkPlumbley

[L1A-2] Fast Algorithm for Estimating Mutual Information, Entropies and ScoreFunctions 17

Dinh-Tuan Pham[ L 1 A - 3 ] I d e n t i f i a b i l i t y a n d S e p a r a b i l i t y o f L i n e a r I C A M o d e l s R e v i s i t e d . . . . 2 3

Jan Eriksson, VisaKotvunen[L1A-4] Independent Component Analysis of Largely Underdetermined Mixtures 29

Lieven De Lathauwer, BartDe Moor, Joos Vandewalle, Jean-Francois Cardoso[L1A-5] An Orthogonal Matrix Optimization by Dual Cayley Parametrization

Technique 35Isao Yamada, Takato Ezaki

[L1A-6] A General Framework for Component Estimation 41Jason Allan Palmer, Kenneth Kreutz-Delgado

Lecture 1B Biomedical Applications(April 2, 10:30-12:00)

[L1B-1] Complex Spectral-Domain Independent Component Analysis ofElectroencephalographic Data 47

Jorn Anemuller, TerrenceJ. Sejnowski, Scott Makeig[L1B-2] Independent Component Analysis of Electrogastrogram Data S3

Masashi Ohata, Takahiro Matsuomoto, Akio Shigematsu, Kiyotoshi Matsuoka[L1B-3] ICA Applied to Atrial Fibrillation Analysis 59

Josi Joaquin Rieta, Francisco Castells, C&sar Sanchez, Jorge Igual[L1B-4] Modification of ICA for Extracting Blood Vessel-Related Component in

Nuclear Medicine: Contrast Function and Nonnegative Constraints 65Mika Naganawa, Yuichi Kimura, Ayumu Matani

[L1B-5] Recovery of Constituent Spectra in 3D Chemical Shift Imaging usingNon-Negative Matrix Factorization 71

Paul Sajda, Shuyan Du, Truman Brvwn, Lucas Parra, Radka Stoyanova[L1B-6] Blind Separation in Low Frequencies using Wavelet Analysis,

Application to Artificial Vision 77Danielle Nuzillard, Sorin Curila, Mircea Curila

Poster 1A Theory 1 (Instantaneous Models and Noise)(April 2,14:00-15:00)

[P1A-01] Hierarchical Models of Variance Sources 83Harri Valpola, Markus Harva, Juha Karhunen

[P1A-02] Sparse Component Analysis for Blind Source Separation with LessSensors than Sources 89

YuanqingH, Andrzej Cichocki, Shun-ichi Amari[P1A-03] Considering Temporal Structures in Independent Component Analysis 95

Andreas Jung, Andreas Kaiser

[P1A-04] Factor Rotation and ICA 101Yutaka Kano, Yusuke Miyamoto, Shohei Shimizu

[P1A-05] Variational Bayesian Mixture of Independent Component Analysersfor Finding Self-Similar Areas in Images 107

Rixwan Ahmed Choudrey, Stephen Roberts

[P1A-06] Faster Training in Nonlinear ICA using MISEP 113Luis B. Almeida

[P1A-07] Bounded Approximation for Score Function Selection 119Vincent Vigneron, Christian Jutten

[P1A-08] Measuring Sparseness of Noisy Signals 125Juha Karvanen, Andrzej Cichocki

[P1A-09] Inversion Techniques for Underdetermined BSS in an ArbitraryNumber of Dimensions 131

Luis Vielva, Yago Pereiro, Deniz Erdogmus, Jose C. Principe

[P1A-10] On the Uniqueness of the Minimum of the Information-Theoretic CostFunction for the Separation of Mixtures of Nearly Gaussian Signals 137

Riccardo Boscolo, Vwani P. Roychowdhury

[P1A-11] Non-Gaussian Source-Filter and Independent ComponentsGeneralizations of Spectral Flatness Measure 143

Shlomo Dubnov

[P1A-12] Analysing ICA Components by Injecting Noise 149Stefan Harmeling, Frank Meinecke, Klaus-Robert Mueller

[P1A-13] MLP-Based Source Separation for MLP-Like Nonlinear Mixtures . . 155Ruben Martin-Clemente, Susana Hornillo-Mellado, Jose I. Acha, Fernando Rojas,

Carlos Puntonet

[P1A-14] Geometric ICA using Nonlinear Correlation and MDS 161Samer Abdullah, MarkPlumbley

Poster 1B Applications 1 (Biomedical and Image)(April 2,14:00-15:00)

[P1B-01] Blind Source Separation of Water Artefacts in NMR Spectra using aMatrix Pencil 167

Kurt Stadlthanner, Ana Maria Tome, Fabian Joachim Theis, Wolfgang Gronwald,Hans-Robert Kalbitzer, Elmar Wolfgang Lang

[P1B-02] Independent Component Analysis with Joint Speedup andSupervisory Concept Injection: Applications to Brain fMRIMap Distillation 173

Yasuo Matsuyama, Ryo Kawamura, Naoto Katsumata

[P1B-03] Removing Artifacts from Atrial Epicardial Signals during AtrialFibrillation 179

Jian-Hung Liu, TsairKao

[P1B-04] Blind Identification of SEF Dynamics from MEG Data by usingDecorrelation Method of ICA 185

Kuniharu Kishida, Kenji Kato, Kazuhiro Shinosaki, Satoshi Ukai

[P1B-05] Independent Component Analysis as Preprocessing Tool forDecomposition of Surface Electrode-Array Electromyogram . . . 191

GonzaloA. Garcia, Ryouichi Nishitani, Ryuhei Okuno, Kenzo Akazawa

[P1B-06] Classification of Single Trial EEG Signals by a Combined Principal+ Independent Component Analysis and Probabilistic NeuralNetwork Approach 197

Tetsuya Hoya, Gen Hori, Hovagim Bakardjian, Tomoaki Nishimura, Taiji Suzuki,Yoichi Miyawaki, Arao Funase, Jianting Cao

[P1B-07] Independent Component Analysis in Spectral Images 203Vladimir Botchko, Elena Berina, Zhanna Koroikaya, Jussi Parkkinen, Timo

Jaaskelainen

[P1B-08] A Method for Digital Image Watermarking using ICA 209Minfen Shen, Xinjung Zhang, Lisha Sun, Patch J. Beadle, Francis H. Y. Chan

[P1B-09] A Digital Watermarking Scheme Based on ICA Detection 215Ju Liu, Xingang Zhang, Jiande Sun, Miguel Angel Lagunas

[P1B-10] ICA Aided Linear Spectral Mixture Analysis of Agricultural RemoteSensing Images 221

Naoko Kosaka, Yukio Kosugi

[P1B-11] Blind Separation of Reflections using Sparse ICA 227Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y.

Zeevi

[P1B-12] Probability as Metadata: Event Detection in Music using ICA as aConditional Density Model 233

Samer Abdallah, Mark Plumbley

[P1B-13] Cell Recognition Based on PCA and Bayesian Classification 239SaeidSanei, Tracey Mei Kah Lee

Special Invited Session 1A Nonlinear ICA and BSS(April 2,17:30-19:15)

[Invited Paper][SIS1A-1] Advances in Nonlinear Blind Source Separation 245

Christian Jutten, Juha Karhunen[ S I S 1 A - 2 ] N o n l i n e a r I n d e p e n d e n t F a c t o r A n a l y s i s b y H i e r a r c h i c a l M o d e l s . . . 2 5 7

Harri Valpola, Tomas Ostman, Juha Karhunen[SIS1A-3] Quadratic Dependence Measure for Nonlinear Blind Sources

Separation 263Sophie Achard, Dinh-Tuan Pham, Christian Jutten

[SIS1A-4] Blind Separation of Post-Nonlinear Mixtures using GaussianizingTransformations and Temporal Decorrelation 269

Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Mueller[SIS1A-5] Nonlinear Geometric ICA 275

Fabian Joachim Theis, Carlos Puntonet, Elmar Wolfgang Lang

Special Invited Session 1B Independent Component Analysis ofFunctional Magnetic Resonance Imaging Data(April 2, 17:30-19:15)

[Invited Paper][SIS1B-1] ICA of Functional MRI Data: An Overview 281

Vince Calhoun, Tulay Adali, Lars K. Hansen, Jan Larsen, Jim Pekar[SIS1B-2] Consistency of Infomax ICA Decomposition of Functional Brain

Imaging Data 289Jeng-Ren Duann, Tzyy-Ping Jung, Scott Makeig, TerrenceJ. Sejnowski

[SIS1B-3] Probabilistic ICA for fMRI- Noise and Inference 295Christian F. Beckmann, Stephen M. Smith

[ S I S 1 B - 4 ] I n d e p e n d e n t C o m p o n e n t A n a l y s i s o f A u d i t o r y f M R I R e s p o n s e s . . . 3 0 1Fabrizio Esposito, Elia Formisano, Erich Seifritz, Raffaele Elefante, Rainer

Goebel, Francesco Di Salle[SIS1B-5] Combining ICA and Cortical Surface Reconstruction in Functional

MRI Investigations of Human Brain Functions 307Elia Formisano, Fabrizio Esposito, Francesco Di Salle, Rainer Goebel

Poster 2A Convolutive Models 1(April 3, 9:30-10:30)

[P2A-01] Non-Square Blind Source Separation under Coherent Noise byBeamforming and Time-Frequency Masking 313

Radu Balan, Justinian Rosca, Scott Rickard[P2A-02] Blind Deconvolution of Images using Gabor Filters and Independent

Component Analysis 319Shinji Umeyama

[P2A-03] Application of Blind Source Separation in Speech Processing forCombined Interference Removal and Robust Speaker Detectionusing a Two-Microphone Setup 325

Erik Visser, Te-Won Lee

[P2A-04] Whitening Processing for Blind Separation of Speech Signals 331Yunxin Zhao, RongHu, Satoshi Nakamura

[P2A-05] Stable Learning Algorithm for Blind Separation of TemporallyCorrelated Signals Combining Multistage ICA and Linear Prediction337

Tsuyoki Nishikawa, Himshi Saruwatari, Kiyohiro Shikano

[P2A-06] Blind Separation of Acoustic Mixtures Based on Linear PredictionAnalysis 343

Kostas Kokkinakis, Vicente Zarzoso, Asoke K. Nandi

[P2A-07] A Unified Presentation of Blind Separation Methods for ConvolutiveMixtures using Block-Diagonalization 349

Cedric Fevotte, Christian Doncarli

[P2A-08] Speech Extraction Based Upon a Combined Subband IndependentComponent Analysis and Neural Memory 355

Tetsuya Hoya, Allan Kardec Barros, Tomasz RutkowsM, Andrzej Cichocki

[P2A-09] Alternative Structures and Power Spectrum Criteria for BlindSegmentation and Separation of Convolutive Speech Mixtures . . 361

BenoitAlbouy, Yannick Deville

[P2A-10] Speech Enhancement and Recognition in Car Environment usingBlind Source Separation and Subband Elimination Processing . . 367

Himshi Saruwatari, Katsuyuki Sawai, AUnobu Lee, Kiyohiro Shikano, AtsunobuKaminuma, Masao Sakata

[P2A-11] Maximum Likelihood Permutation Correction for Convolutive SourceSeparation 373

WolfBaumann, Dorothea Kolossa, Reinhold Orglmeister

[P2A-12] Permutation Correction and Speech Extraction Based on SplitSpectrum Through FastICA 379

Hiromu Gotanda, KazuyuM Nobu, Takeshi Koya, Kei-ichi Kaneda, Taka-aUIshibashi, Naomi Haratani

Poster 2B Algorithms 1(April 3,9:30-10:30)

[P2B-01] Independent Component Analysis using Jaynes' Maximum EntropyPrinciple 385

Deniz Erdogmus, Kenneth E. Hild II, Yadunandana N. Rao, Jose C. Principe[P2B-02] A Modification of the Gradient Algorithm for Blind Signal Separation 391

Hyung-Min Park, Sang-Hoon Oh, Soo-YoungLee[P2B-03] Using Wold Decomposition Principle in Blind Separation of Joint

Stationary Correlated Sources 397MasoudReza Aghabozorgi, Ali Mohammad Doost-Hoseini

[P2B-04] Linear Multilayer ICA Algorithm Integrating Small Local Modules . 403Yoshitatsu Matsuda, Kazunori Yamaguchi

[P2B-05] On the Convergence Behavior oftheFastICA Algorithm 409Scott C. Douglas

[P2B-06] Handling Missing Data with Variational Bayesian Learning of ICA . . 415Kwokleung Chan, Te-WonLee, TerrenceJ. Sejnowski

[ P 2 B - 0 7 ] G l o b a l l y C o n v e r g e n t N e w t o n A l g o r i t h m s f o r B l i n d D e c o r r e l a t i o n . . . 4 2 1Sergio A. Cruces-Alvarez, Andrzej Cichocki

[P2B-08] An Adaptive Nonlinear Function Controlled by Estimated OutputPDF for Blind Source Separation 427

Kenji Nakayama, Akihim Hirano, Takayuki Sakai

[P2B-09] HOS Criteria & ICA Algorithms Applied to Radar Detection 433Maher Bouzaien, Ali Mansour

[P2B-10] Natural Gradient using Simultaneous Perturbation withoutProbability Densities for Blind Source Separation 439

Yutaka Maeda, Takayuki Maruyama

[P2B-11] Blind Source Separation Based on Dual Adaptive Control 445Ding Liu, Xiaoyan Liu, Fucai Qian, Han Liu

[P2B-12] Independent Data Decomposition 451Stephen Roberts, Rizwan Ahmed Choudrey

[P2B-13] Decorrelation-Based Blind Source Separation Algorithm andConvergence Analysis 457

Jlemin Mei, Fuliang Yin

Lecture 2A Algorithms (instantaneous linear mixture models)(April 3, 11:00-12:30)

[L2A-1] Combining Blind Source Extraction with Joint ApproximateDiagonalization: Thin Algorithms for ICA 463

Sergio A. Cruces-Alvarez, Andrzej Cichocki[L2A-2] A Linear Least-Squares Algorithm for Joint Diagonalization 469

Andreas Ziehe, Pavel Laskov, Klaus-Robert Mueller, GuidoNolte[L2A-3] Adaptive Selection for Minimum Beta-Divergence Method 475

Mihoko Minami, Shinto Eguchi[L2A-4] Two-Phase Nonparametric ICA Algorithm for Blind Separation of

Instantaneous Linear Mixtures 481Chin-Jen Ku, Terrence L. Fine

[L2A-5] Independent Component Analysis on the Basis of Helmholtz Machine . 487Masashi Ohata, Toshiharu Mukai, Kiyotoshi Matsuoka

[L2A-6] Blind Source Separation Based on Space-Time-Frequency Diversity . . 493Scott Rickard, Radu Balan, Justinian Rosca

Lecture 2B Speech Processing(April 3,11:00-12:30)

[L2B-1] Subband Based Blind Source Separation with Appropriate Processingfor Each Frequency Band 499

Shoko Araki, Shoji MaMno, Robert Aichner, Tsuyoki Nishikawa, HimshiSaruwatari

[L2B-2] A Robust and Precise Method for Solving the Permutation Problem ofFrequency-Domain Blind Source Separation 505

Himshi Sawada, Ryo Mukai, Shoko Araki, Shoji MaMno[L2B-3] Separation of Speech Signals with Segmentation of the Impulse

Responses under Reverberant Conditions 511Christine Service

[L2B-4] Recursive Method for Blind Source Separation and its Applications toReal-Time Separations of Acoustic Signals 517

Shuxue Ding, Toru Hikichi, Teruo Niitsuma, Masahim Hamatsu, Kazuyoshi Sugai[L2B-5] Multistage ICA for Blind Source Separation of Real Acoustic

Convolutive Mixture 523Tsuyoki Nishikawa, Himshi Saruwatari, Kiyohim Shikano, Shoko Araki, Shoji

MaMno[L2B-6] Single Channel Signal Separation using Maximum Likelihood Subspace

Projection 529Gil-Jin Jang, Te- Won Lee, Yung-Hwan Oh

Invited Talk 2 Masaki Kawakatsu (Tokyo Denki University)(April 3,14:00-14:45)

[IT-2] Application of ICA to MEG Noise Reduction 535Masaki Kawakatsu

Poster 3A Convolutive Models 2(April 3,15:15-16:15)

[P3A-01] Frequency Domain Realization of a Multichannel Blind DeconvolutionAlgorithm Based on the Natural Gradient 543

Marcel Joho, Philip Schniter[P3A-02] Blind Separation and Deconvolution for Real Convolutive Mixture of

Temporally Correlated Acoustic Signals using SIMO-Model-BasedICA 549

Himshi Saruwatari, Tomoya Takatani, Himaki Yamajo, Tsuyoki Nishikawa,Kiyohim Shikano

[P3A-03] Multichannel Blind Deconvolution using a Generalized ExponentialSource Model 555

Liang Suo Ma, Ah Chung Tsoi

[P3A-04] Generalized Deflation Algorithms for the Blind Source-FactorSeparation of MEMO-FIR Channels 561

Mitsuru Kawamoto, Yujiro Inouye

[P3A-05] Real-Time Binaural Blind Source Separation 567Changkyu Choi

[P3A-06] A Combined Cascading Subspace and Adaptive Signal EnhancementMethod for Stereophonic Noise Reduction 573

Tetsuya Hoya, Andrzej Cichocki, Toshihisa Tanaka, Gen Hori, Takahim Murakami,JonathonA. Chambers

[P3A-07] A Fixed-Point ICA Algorithm for Convoluted Speech Signal Separation 579Rajkishore Prasad, Hiroshi Saruwatari, AMnobu Lee, Kiyohim Shikano

[P3A-08] Estimating AR Parameter-Sets for Linear-Recurrent Signals inConvolutive Mixtures 585

Masato Miyoshi

[P3A-09] Blind Deconvolution and ICA with a Banded Mixing Matrix 591Sam T. Kaplan, TadeuszJ. Ulrych

[P3A-10] Blind Source Separation using ICA and Beamforming 597Xuebin Hu, Hidefumi Kobatake

[P3A-11] Adaptive Noise Canceling using Convolved Reference Noise Based onIndependent Component Analysis 603

Taesu Kim, Hyung-Min Park, Soo-YoungLee

Poster 3B Algorithms 2(April 3, 15:15-16:15)

[P3B-01] Oriented PCA and Blind Signal Separation 609Konstantinos I. Diamantaras, Theophilos Papadimitriou

[P3B-02] Blind Source Separation Based on the Fractional Fourier Transform . 615Shamn Karako-Eilon, Arie Yeredor, David Mendlovic

[P3B-03] A One-Bit-Matching Theorem Based Simplified LPM-ICA Algorithm 621Zhi-YongLiu, Kai-Chun Chiu, LeiXu

[P3B-04] Adaptive Noise Cancellation and Blind Source Separation 627Maria Grazia Jafari, Jonathon A. Chambers

[P3B-05] Complex ICA for Direction Finding and Separation of BroadbandSound Sources - High-Quality Signal Separation using an InverseFilter- 633

Noboru Nakasako, Hisanao Ogura

[P3B-06] Improving Algorithm Speed in PNL Mixture Separation and WienerSystem Inversion 639

Jordi Sole-Casals, Massoud Babaie-Zadeh, Chrsitian Jutten, Dinh-Tuan Pham

[P3B-07] An Online Algorithm for Blind Extraction of Sources with DifferentDynamical Structures 645

Danilo Mandic, Andrzej Cichocki

[P3B-08] Improved Blind Separations of Nonstationary Sources Based onSpatial Time-Frequency Distributions 651

Yimin Zhang, Moeness G. Amin, Alan R. Lindsey

[P3B-09] Blind Sources Separation by Simultaneous Generalized ReferencedContrasts Diagonalization 657

Abdellah Adib, Eric Moreau, Driss Aboutajdine

[P3B-10] Blind Source Separation using Order Statistics 663Jani Even, Eric Moisan

[P3B-11] Deterministic Blind Source Separation for Space Variant Imaging . . 669Harold Szu, Ivica Kopriva

[P3B-12] Blind Separation of Auto-Correlated Images from Noisy Mixturesusing MRF Models 675

Anna Tonazzini, Luigi Bedini, Ercan E. Kuruoglu, Emanuele Salerno

[P3B-13] Blind Inversion of Wiener System using a Minimization-Projection(MP) Approach 6 8 1

Massoud Babaie-Zadeh, Jordi Sole-Casals, Christian Jutten

Special Invited Session 2A ICA/BSS for Multimedia signalProcessing(April 3, 16:45-18:15)

[Invited Paper][SIS2A-1] Independent Component Analysis in Multimedia Modeling 687

Jan Larsen, Lars Kai Hansen, Thomas Kolenda, Finn Aarup Nielsen[SIS2A-2] Learning the Semantics of Multimedia Content with Application to

Web Image Retrieval and Classification 697Alexei Vinokoumv, David R. Hardoon, John Shawe-Taylor

[SIS2A-3] Review of ICA and HOS Methods for Retrieval of Natural Soundsand Sound Effects 703

Shlomo Dubnov, Adiel Ben-Shalom[SIS2A-4] Audio/Visual Independent Components 709

Paris Smaragdis, Michael Casey[SIS2A-5] A Tentative Typology of Audio Source Separation Tasks 715

Emmanuel Vincent, Cedric Fevotte, Laurent Benaroya, Remi Gribonval

Special Invited Session 2B ICA/BSS for Wireless Communication(April 3,16:45-18:05)

[SIS2B-1] First-Order Differential Beamforming and Joint-Process Estimationfor Spatial Source Separation 721

Pedm Gomez-Vilda, Victor Nieto-Lluis, Agustin Alvarez-Marquina, RafaelMartinez-Olalla, Francisco Rodriguez-Dapena, Francisco Diaz-Perez, VictoriaRodellar-Biarge

[SIS2B-2] Blind Multi User Detection in DS-CDMA Systems using NaturalGradient Based Symbol Recovery Structures 727

Khurram Waheed, KeyurDesai, FathiM. Salem[SIS2B-3] Blind Identification for Fixed Fragment-Size Packet Transmissions

with Distributed Redundancy over Multipath Fading Channels . . 733Shuichi Ohno, Georgios B. Giannakis

[SIS2B-4] Inter-Cell Interference Cancellation in CDMA Array Systems byIndependent Component Analysis 739

Tapani Ristaniemi, Karthikesh Raju, Juha Karhunen, ErkM Oja

Poster 4A Theory 2(April 4, 9:30-10:30)

[P4A-01] An Approach of Grouping Decomposed Components 745Daisuke Ito, Takuya Mukai, Noboru Murata

[P4A-02] A Statistical Approach to Testing Mutual Independence of ICARecovered Sources 751

Kai-Chun Chiu, Zhi-YongLiu, LeiXu[ P 4 A - 0 3 ] L 2 D e - G a u s s i a n i z a t i o n a n d I n d e p e n d e n t C o m p o n e n t A n a l y s i s . . . . 7 5 7

Takeshi Yokoo, Bruce W. Knight, Lawrence Simvich[ P 4 A - 0 4 ] P r o p o s a l s f o r P e r f o r m a n c e M e a s u r e m e n t i n S o u r c e S e p a r a t i o n . . . . 7 6 3

Remi Gribonval, Laurent Benaroya, Emmanuel Vincent, Cedric Fevotte[P4A-05] Generation of Correlated Non-Gaussian Random Variables from

Independent Components 769Juha Karvanen

[P4A-06] Geometrical Interpretation of the PCA Subspace Method forOverdetermined Blind Source Separation 775

Stefan Winter, Himshi Sawada, Shoji MaMno

[P4A-07] The Canonical Decomposition and Blind Identification with MoreInputs than Outputs: Some Algebraic Results 781

Lieven De Lathauwer

[P4A-08] On the Regularization of Canonical Correlation Analysis 785Ttjl De Bie, Bart De Moor

[P4A-09] A Brute-Force Analytical Formulation of the IndependentComponents Analysis Solution 791

Deniz Erdogmus, Anant Hegde, Kenneth E. Hild II, M. Can Ozturk, Jose C.Principe

[P4A-10] Learning Hierarchical Dynamics using Independent ComponentAnalysis 797

Rizwan Ahmed Choudrey, Stephen Roberts

[P4A-11]On-LineVariationalBayesian Learning 803Antti Honkela, Harri Valpola

[P4A-12]Bayesian ICA with Hidden Markov Model Sources 809Rizwan Ahmed Choudrey, Stephen Roberts

[P4A-13] Monaural ICA of White Noise Mixtures is Hard 815Lars Kai Hansen, Kaare Brandt Petersen

[ P 4 A - 1 4 ] S i m u l t a n e o u s M a t r i x D i a g o n a l i z a t i o n : t h e O v e r c o m p l e t e C a s e . . . . 8 2 1Lieven De Lathauwer

Poster 4B Applications 2(April 4, 9:30-10:30)

[P4B-01] ICA Filter Bank for Segmentation of Textured Images 827Robert Jenssen, Torbjorn Eltoft

[P4B-02] Fetal Magnetocardiographic Source Separation using the Poles of theAutocorrelation Function 833

Draulio de Araujo, Allan K Barms, Oswaldo Baffa, Ronald Wakai, Hui Zhao,Noboru Ohnishi

[P4B-03] An Effective Evaluation Function for ICA to Separate Train Noisefrom Telluric Current Data 837

Mika Koganeyama, Sayuri Sawa, Hayaru Shouno, Toshiyasu Nagao, KazuM Joe

[P4B-04] Extraction of Drum Tracks from Polyphonic Music using IndependentSubspace Analysis 843

Christian Uhle, Christian Dittmar, Thomas Sporer

[P4B-05] Study of Mutual Information in Perceptual Coding with Applicationfor Low Bit-Rate Compression 849

Adiel Ben-Shalom, Shlomo Dubnov, Michael Werman

[P4B-06] Application oflCA to Lossless Image Coding 855Michel Barret, Michel Namzny

[ P 4 B - 0 7 ] I C A F e a t u r e s o f I m a g e D a t a i n O n e , T w o a n d T h r e e D i m e n s i o n s . . . 8 6 1MikalnM

[P4B-08] Research of Saccade-Related EEG: Comparison of EnsembleAveraging Method and Independent Component Analysis 867

Arao Funase, Allan K Barms, Shigeru Okuma, Tohru Yagi, Andrzej CichocM

fP4B-091 Assessing rCBF Changes in Parkingson's Disease using IndependentComponent Analysis ° '•*

Jung-Lung Hsu, Jeng-Ren Duann, Han-Cheng Wang, Tzyy-Ping Jung

[P4B-10] Application of Independent Component Analysis to Chemical Reactions 879Sophia Triadaphillou, Julian Morris, Elaine Martin

[P4B-11] Decorrelation Techniques for Geometry Coding of 3D Mesh 885Mircea Curila, Sorin Curila, Danielle Nuzillard

Lecture 3A Beyond ICA(April 4,11:00-12:30)

[L3A-1] Finding Clusters in Independent Component Analysis 891FrancisR. Bach, Michael! Jordan

[L3A-2] Blind Source Separation with Relative Newton Method 897Michael Zibulevsky

[L3A-3] TV-SOBI: An Expansion of SOBI for Linearly Time-Varying Mixtures 903Arie Yeredor

[L3A-4] Sixth Order Blind Identification of Under determined Mixtures (BIRTH)of Sources 909

Laurent Albera, AnneFerreol, Pierre Comon, Pascal Chevalier[L3A-5] On the Effect of the Form of the Posterior Approximation in Variational

Learning of ICA Models 915Alexander Bin, Harri Valpola

[L3A-6] The Co-Information Lattice 921Anthony John Bell

Lecture 3B Convolutive Models and their Applications(April 4,11:00-12:30)

[L3B-1] A Robust Algorithm for Blind Separation of Convolutive Mixture ofSources 927

Kiyotoshi Matsuoka, Satoshi Nakashima[L3B-2] Blind Separation of Multiple Convolved Colored Signals using

Second-Order Statistics 933Mitsuru Kawamoto, Yujiro Inouye

[L3B-3] A Joint Diagonalization Method for Convolutive Blind Separation ofNonstationary Sources in the Frequency Domain 939

Wenwu Wang, JonathonA. Chambers, SaeidSanei[L3B-4] A Generalization of a Class of Blind Source Separation Algorithms for

Convolutive Mixtures 945Herbert Buchner, Robert Aichner, Walter Kellermann

[L3B-5] Geometrically Constrained ICA for Robust Separation of Sound Mixtures951Mirko Knaak, Shoko AraM, Shoji MaMno

[L3B-6] Wiener Based Source Separation with HMM/GMM using a Single Sensor 957Laurent Benaroya, Frederic Bimbot

Invited Talk 3 Aapo Hyvarinen (Helsinki University of Technology)(April 4, 14:00-14:45)

[IT-3] Extensions of ICA as Models of Natural Images and Visual Processing . . 963Aapo Hyvarinen, Patrik O. Hoyer, Jarmo Hurri

Poster 5A Convolutive Models 3(April 4, 15:15-16:15)

[P5A-01] Real-Time Blind Source Separation for Moving Speakers usingBlockwise ICA and Residual Crosstalk Subtraction 975

Ryo Mukai, Himshi Sawada, Shoko Araki, Shoji MaMno

[P5A-02] Blind Separation of Convolutive Audio Mixtures using Nonstationarity 981Dinh-Tuan Pham, Christine Serviere, HaMm Boumaraf

[P5A-03] On-Line Time-Domain Blind Source Separation of NonstationaryConvolved Signals 987

Robert Aichner, Herbert Buchner, Shoko AraM, Shoji MaMno

[P5A-04] SIMO-Model-Based Independent Component Analysis forHigh-Fidelity Blind Separation of Acoustic Signals 993

Tomoya Takatani, TsuyoM Nishikawa, Himshi Saruwatari, Kiyohim Shikano

[P5A-05] Cepstrum-Like ICA Representations for Text Independent SpeakerRecognition 999

Justinian Rosca, Andri Kofinehl

[P5A-06] Control Systems Analysis via Blind Source Deconvolution 1005Kenji Sugimoto, Yoshito Kikkawa

[P5A-07] Experimental Studies on DOA Estimation Based on Blind SignalSeparation and Array Signal Processing 1011

Jie Zhuo, Chao Sun

[P5A-08] Towards Affect Recognition: An ICA Approach 1017Mandar Arun Rahurkar, John Hansen

[P5A-09] Selective Microphone System using Blind Separation by BlockDecorrelation of Output Signals 1023

Masakazu IwaM, AMo Ando

[P5A-10] Blind Deconvolution of Timely-Correlated Sources by HomomorphicFiltering in Fourier Space 1029

Wlodzimierz Kasprzdk, Adam OkazaM

[P5A-11] Blind Equalization of Fractionally-Spaced Channels 1035Luciano P. G. Sarperi, "Vicente Zarzoso, Asoke K. Nandi

Poster 5B Algorithms 3(April 4, 15:15-16:15)

[P5B-01] Blind Equalization by Sampled PDF Fitting 1041Marcelino Lazaro, Ignacio Santamaria, Carlos Pantaleon, Deniz Erdogmus,

Kenneth E. Hildll, Jose C. Principe[P5B-02] ICA using Spacing Estimates of Entropy 1047

Erik G. Miller, John W. Fisher[P5B-03] Initialized Jacobi Optimization in Independent Component Analysis . 1053

Juan Jose Murillo-Fuentes, Rafael Boloix, Francisco J. Gonzalez-Serrano[P5B-04] Temporal and Time-Frequency Correlation-Based Blind Source

Separation Methods 1059Yannick Deville

[P5B-05] Adaptive Initialized Jacobi Optimization in Independent ComponentAnalysis 1065

Juan Jose Murillo-Fuentes, Rafael Boloix, Francisco J. Gonzalez-Serrano

[P5B-06] A Histogram-Based Overcomplete ICA Algorithm 1071Fabian Joachim Theis, Carlos Puntonet, Elmar Wolfgang Lang

[P5B-07] Algebraic Overcomplete Independent Component Analysis 1077Khurram Waheed, Fathi M. Salem

[P5B-08] Minimization-Projection (MP) Approach for Blind Source Separationin Different Mixing Models 1083

Massoud Babaie-Zadeh, Christian Jutten, Kambiz Nayebi

[P5B-09] Several Improvements of the He>ault-Jutten Model for SpeechSegregation 1089

Frederic Berthommier, Seungjin Choi

[P5B-10] Critical Point Analysis of Joint Diagonalization Criteria 1095Gen Hori, Jonathan H Manton

[P5B-11] A Geometric ICA Procedure Based on a Lattice of the Observation Spacel 101Manuel R. Alvarez, Fernando Rojas, Carlos G. Puntonet, Fabian Theis, Elmar W.

Lang, Julio Ortega

[P5B-12] Adaptive Blind Source Separation in Order Specified by StochasticProperties 1107

Xiao-long Zhu, Jian-feng Chen, Xian-da Zhang

Invited Talk 4 Jean-Francois Cardoso (Centre National de laRecherche Scientifique)(April 4,16:45-17:30)

[IT-4] Independent Component Analysis of the Cosmic Microwave Background 1111Jean-Francois Cardoso, Jacques Delabmuille, Guillaume Patanchon