ICA 2006

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ICA 2006
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6th International Conference on Independent Component Analysis and Blind Source Separation

Program

Sunday, March 5

2:00-3:30 Tutorial 1
  • Neural theory and neural analysis using ICA,
    Tony Bell, University of California at Berkeley
3:30-4:00 Coffee Break
4:00-6:00 Tutorial 2:
  • Bayesian machine learning for signal processing,
    Hagai T. Attias, Golden Metallic, Inc. (Presentation)
6:30-10:00 Welcome Reception

Monday, March 6

8:30-9:30 Invited Talk 1
  • To be or not to be independent: a mathematical discussion of ICA decompositions for brain fMRI data,
    by Ingrid Daubechies, Prof. Applied Mathematics, Princeton University
9:30-10:00 Poster Highlights (5 minutes each)
  • Second-Order Blind Identification of Underdetermined Mixtures (40)
    Lieven De Lathauwer, Josephine Castaing
  • Model structure selection in convolutive mixtures (72)
    Mads Dyrholm, Scott Makeig, Lars Kai Hansen
  • K-EVD Clustering and its Applications to Sparse Component Analysis (88)
    Zhaoshui He, Andrzej Cichocki
  • An EM method for spatio-temporal blind source separation using an AR-MOG source model (96)
    Kenneth Hild, Hagai Attias, Srikantan Nagarajan
  • Estimating non-Gaussian subspaces by characteristic functions (152)
    Motoaki Kawanabe, Fabian Theis
  • Global Noise Elimination from ELF Band Electromagnetic Signals by ICA (376)
    Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata
10:00-10:30 Coffee Break
10:30-12:30 Oral Session 1 - Theory (15 minutes each)
  • Zero-Entropy Minimization for Blind Extraction of Bounded Sources (733)
    Frederic Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen
  • Global Analysis of Log Likelihood Criterion (797)
    Gen Hori
  • Kernel Principal Components are maximum entropy projections (828)
    Antonio Paiva, Jianwu Xu, Jose Principe
  • Blind partial separation of instantaneous mixtures of sources (851)
    Dinh-Tuan Antoine Pham
  • Information-Theoretic Nonstationary Source Separation (867)
    Zeyong Shan, Selin Aviyente
  • Testing significance of mixing and demixing coe_cients in ICA (883)
    Shohei Shimizu, Aapo Hyvarinen, Yutaka Kano, Patrik Hoyer, Antti Kerminen
  • Uniqueness of Non-Gaussian Subspace Analysis (899)
    Fabian Theis, Motoaki Kawanabe
  • Fixed-Point Complex ICA Algorithms for the Blind Separation of Sources (336)
    Scott Douglas, Jan Eriksson, Visa Koivunen
12:30-2:00 Lunch
2:00-3:30 Poster Session 1 - Algorithms and Architectures
  • Separation of Nonlinear Image Mixtures by Denoising Source Separation (8)
    Harri Valpola, Mariana S.C. Almeida, Jaakko Sarela
  • Fast Kernel Independent Component Analysis (24)
    Aiyou Chen
  • Csiszar's Divergences for NMF: Family of New Multiplicative Algorithm (32)
    Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari
  • Second-Order Blind Identification of Underdetermined Mixtures (40)
    Lieven De Lathauwer, Josephine Castaing
  • Model structure selection in convolutive mixtures (72)
    Mads Dyrholm, Scott Makeig, Lars Kai Hansen
  • K-EVD Clustering and its Applications to Sparse Component Analysis (88)
    Zhaoshui He, Andrzej Cichocki
  • An EM method for spatio-temporal blind source separation using an AR-MOG source model (96)
    Kenneth Hild, Hagai Attias, Srikantan Nagarajan
  • Eigenvector Algorithms with Reference Signals for Frequency Domain BSS (120)
    Masanori Ito, Mitsuru Kawamoto, Noboru Ohnishi, Yujiro Inouye
  • A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces (144)
    Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir Spokoiny, Klaus Muller
  • Estimating non-Gaussian subspaces by characteristic functions (152)
    Motoaki Kawanabe, Fabian Theis
  • Independent Vector Analysis (160)
    Taesu Kim, Torbjørn Eltoft, Te-Won Lee
  • ICA Applied to Passive Acoustic Tomography (176)
    Ali Mansour, Nabih Benchekroun, Cedric Gervaise
  • Recursive Generalized Eigendecomposition for Independent Component Analysis (192)
    Umut Ozertem, Deniz Erdogmus, Tian Lan
  • Recovery of Sparse Representations by Polytope Faces Pursuit (200)
    Mark Plumbley
  • ICA Based Semi-Supervised Learning Algorithm for BCI Systems (208)
    Jianzhao Qin, Yuanqing Li, Qijin Liu
  • A Canonical Genetic Algorithm for Blind Inversion of Linear Channels (232)
    Fernando Rojas, Jordi Sole-Casals, Enric Monte-Moreno, Carlos Puntonet, Alberto Prieto
  • Efficient Separation of Convolutive Image Mixtures (240)
    Sarit Shwartz, Yoav Schechner, Michael Zibulevsky
  • Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets (248)
    Kurt Stadthanner, Fabian Theis, Elmar Lang, Ana Maria Tome, Carlos Puntonet, Pedro Gomez Vilda, Thomas Langmann, Gerd Schmitz
  • Quasi-Range Estimators for Minimum Support Independent Component Analysis (256)
    Frederic Vrins, Michel Verleysen
  • Performances of Minimum Support ICA Algorithms Using Order Statistics Differences (264)
    Frederic Vrins, Michel Verleysen
  • Separability of convolutive mixtures:Application to the separation in diesel engine (312)
    Christine Serviere, Moussa Akil
  • Blind Signal Separation on Real Data: Tracking and Implementation (320)
    Paul Baxter, Geoff Spence, John McWhirter
  • Two applications of Independent Component Analysis for Global Noise Elimination from ELF Band Electromagnetic Signals by ICA (376)
    Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata
  • Non-Destructive Evaluation by Ultrasounds (398)
    Addisson Salazar, Jorge Gosalbez, Jorge Igual, Raul Llinares
  • Semi-blind Equalization of Wireless MIMO Frequency Selective Communication Channels (414)
    Oomke Weikert, Christian Klnder, Udo Zlzer
3:30-4:00 Coffee Break
4:00-6:00 Oral Session 2 - Algorithms and Architectures (15 minutes)
  • Simple LU and QR based Non-Orthogonal Matrix Joint Diagonalization (1)
    Bijan Afsari
  • Second-order Separation of Multidimensional Sources with Constrained Mixing System (16)
    Jorn Anemuller
  • Differential fast fixed-point BSS for underdetermined linear instantaneous mixtures (48)
    Yannick Deville, Johanna Chappuis, Shahram Hosseini, Johan Thomas
  • Equivariant Algorithms for Estimating the Strong-Uncorrelating Transform in Complex ICA (56)
    Scott Douglas, Jan Eriksson, Visa Koivunen
  • BSS of Post-Nonlinear Mixtures Using Evolutionary Computation and Order Statististics (64)
    Ricardo Suyama, Leonardo Tomazeli Duarte, Romis Ribeiro de Faissol Attux, Fernando Jose Von Zuben, Joao Marcos T. Romano
  • Markovian blind image separation (104)
    Shahram Hosseini, Rima Guidara, Yannick Deville, Christian Jutten
  • Compression of Multicomponent Satellite Images Using ICA (328)
    Isidore Paul Akam Bita, Michel Barret, Dinh-Tuan Antoine Pham
  • Source Separation of Astrophysical Ice Mixtures (360)
    Jorge Igual, Raul Llinares, Addisson Salazar
6:30-8:00 Poster Session 2 - Algorithms and Medical
  • Estimating the Information Potential with the Fast Gauss Transform (80)
    Seungju Han, Sudhir Rao, Jose Principe
  • ICA-based Binary Feature Construction (136)
    Ata Kaban, Ella Bingham
  • A One-Bit-Matching Learning Algorithm for Independent Component Analysis (168)
    Jinwen Ma, Dengpan Gao, Fei Ge, Shun-ichi Amari
  • State Inference in Variational Bayesian Nonlinear State-Space Models (216)
    Tapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen
  • An Independent Component Ordering and Selection Procedure based on the MSE Criterion (280)
    Haocun Wu, Philip Yu, W.K. Li
  • ICA by PCA (304)
    Kun Zhang, Lai-Wan Chan
  • Blind Estimation of Row Relative Degree via Constrained Mutual Information Minimization (344)
    Jani Even, Kenji Sugimoto
  • Undoing the Affine Transformation using Blind Source Separation (352)
    Nazli Guney, Aysin Ertuzun
  • Improvement on Multivariate Statistical Process Monitoring Using Multi-Scale ICA (368)
    Fei Liu, Chang-Ying Wu
  • On the performance of a HOS-based ICA algorithm in BSS of Acoustic Emission Signals (392)
    Carlos Puntonet, Juan Jose Gozalez de la Rosa, Isidro Lloret, Juan Manuel Gorriz
  • Local Convergence Analysis of FastICA (875)
    Hao Shen, Knut Hueper
  • Cross-Entropy Optimization for Independent Process Analysis (891)
    Zoltan Szabo, Barnabas Poczos, Andras Lorincz
  • A Maximum Likelihood Approach to Nonlinear Convolutive Blind Source Separation (907)
    Wai Lok Woo, Jingyi Zhang, Li Chin Khor, Satnam Singh Dlay
  • The InfoMin Principle for ICA and Topographic Mappings (938)
    Yoshitatsu Matsuda, Kazunori Yamaguchi
  • Non-Negative Matrix Factorization Approach to Blind Image Separation (946)
    Danielle Nuzillard, Ivica Koprica
  • Comparison of BSS methods for the detection of ?-activity components in EEG (422)
    Sergey Borisov, Alexander Ilin, Ricardo Vigario, Erkki Oja
  • Analysis on EEG signal in visually and auditorily guided saccade task by FICAR (430)
    Arao Funase, Tohru Yagi, Motoaki Mouri, Allan Barros, Andrzej Cichocki, Ichi Takumi
  • Kernel Independent Component Analysis for Gene Expression Data Clustering (446)
    Rongfang Bie, Xin Jin, Anbang Xu, Ping Guo
  • Derivation of Atrial Surface Reentries Applying ICA to the Standard ECG of Patients in AF (470)
    Jose Joaquin Rieta, Fernando Hornero, Cesar Sanchez, Carlos Vaya, David Moratal-Perez, Juan Manuel Sanchcis
  • Wavelet Denoising as Preprocessing Stage to Improve ICA Performance in Atrial Fibrillation Analysis (478)
    Cesar Sanchez, Jose Joaquin Rieta, Carlos Vaya, Roberto Zangroniz, Jose Millet
  • Performance of Convolutive BSS Algorithms Applied to the ECG of Atrial Fibrillation (486)
    Carlos Vaya, Jose Joaquin Rieta, Cesar Sanchez, David Moratal-Perez
  • Comparison of ICA Algorithms for the Isolation of Biological Artifacts in MEG (502)
    Heriberto Zavala-Fernandez, Tilmann Sander-Thoemmes, Martin Burghoff, Reinhold Orglmeister, Lutz Trahms
  • Automatic De-noising of Doppler Ultrasound Signals Using Matching Pursuit Method (510)
    Yufeng Zhang, Le Wang, Yali Gao, Jianhua Chen, Xinling Shi

Tuesday, March 7

8:30-9:30 Invited Talk 2
  • Uncovering the Molecular Biological Principles that Govern Cellular Systems with Blind Source Separation Models,
    by Orly Alter, Assistant Professor, Department of Biomedical Engineering, and Fellow, Institute for Cellular and Molecular Biology, University of Texas at Austin
9:30-10:00 Poster Highlights (5 minutes each)
  • Blind Spatial Multiplexing Using Order Statistics for Time-Varying Channels (406)
    Lino Garcýa, Santiago Sazo, Yolanda Blanco-Archilla
  • Underdetermined source separation: comparison of two approaches based on sparse decompositions (622)
    Sylvain Lesage, Sacha Krstulovic, Remi Gribonval
  • Speech enhancement in short-wave channel based on ICA in empirical mode decomposition domain (694)
    Liran Shen, Xueyao Li, Huiqiang Wang, Qingbo Yin
  • Relationships Between the FastICA Algorithm and the Rayleigh Quotient Iteration (765)
    Scott Douglas
  • A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking (805)
    Deniz Erdogmus, Tian Lan, Yonghong Huang
10:00-10:30 Coffee Break
10:30-12:30 Oral Session 3 - Medical Applications (15 minutes)
  • BLUES from Music (384)
    Michael Pedersen, Tue Lehn-Schiøler, Jan Larsen
  • Cogito componentae ergo sum (438)
    Lars Kai Hansen, Ling Feng
  • Topographic Independent Component Analysis of Gene Expression Time Series Data (454)
    Seungjin Choi, Sookjeong Kim
  • Brains and Phantoms: An ICA Study of fMRI (494)
    Jarkko Ylipaavalniemi, Seppo Mattila, Antti Tarkiainen, Ricardo Vigario
  • Blind Source Separation of Cardiac Murmurs from Heart Recordings (462)
    Astrid Pietila, Milad El-Segaier, Ricardo Vigario, Erkki Pesonen
  • On Separation of Semitransparent Dynamic Images from Static Background (915)
    Michael Bronstein, Alexander Bronstein, Michael Zibulevsky
  • Facial Expression Recognition by ICA with Selective Prior (922)
    Fan Chen, Kazunori Kotani
  • An easily computable eight times overcomplete ICA method for image data (930)
    Mika Inki
12:30-2:00 Lunch
2:00-3:30 Poster Session 3 - Speech and Theory
  • Blind Spatial Multiplexing Using Order Statistics for Time-Varying Channels (406)
    Lino Garcýa, Santiago Sazo, Yolanda Blanco-Archilla
  • Underdetermined Convoluted Source Reconstruction using LP and SOCP (558)
    Pau Bofill, Enric Monte
  • Utilization of Blind Source Separation Algorithms for MIMO Linear Precoding (566)
    Paula Maria Castro Castro, Adriana Dapena, Luis Castedo
  • Speech Enhancement Based on the Response Features of Facilitated EI Neurons (574)
    Andre Cavalcante, Danilo Mandic, Tomasz Rutkowski, Allan Barros
  • ICA-based Speech Features in the Frequency Domain (598)
    Wlodzimierz Kasprzak, Okazaki Adam
  • A FastIVA Algorithm for Convolutive Blind Source Separation (614)
    Intae Lee, Taesu Kim, Te-Won Lee
  • Underdetermined source separation: comparison of two approaches based on sparse decompositions (622)
    Sylvain Lesage, Sacha Krstulovic, Remi Gribonval
  • ICA and Binary-Mask-Based Blind Source Separation with Small Directional Microphones (638)
    Yoshimitsu Mori, Hiroshi Saruwatari, Tomoya Takatani, Kiyohiro Shikano, Takashi Hiekata, Takashi Morita
  • Blind Deconvolution with Sparse Priors on the Deconvolution Filters (646)
    Hyung-Min Park, Jong-Hwan Lee, Sang-Hoon Oh, Soo-Young Lee
  • Two time-frequency ratio-based blind source separation methods for time-delayed mixtures (670)
    Matthieu Puigt, Yannick Deville
  • Speech enhancement in short-wave channel based on ICA in empirical mode decomposition domain (694)
    Liran Shen, Xueyao Li, Huiqiang Wang, Qingbo Yin
  • Robust Preprocessing of Gene Expression Microarrays for ICA (701)
    Pedro Gomez Vilda, Francisco Diaz, Rafael Martinez, Raul Malutan, Victoria Rodellar, Carlos Puntonet
  • On the identifiability testing in blind source separation using resampling technique (741)
    Abdeldjalil Assa-El-Bey, Karim Abed-Meraim, Yves Grenier
  • On a Sparse Component Analysis Approach to Blind Source Separation (749)
    Chunqi Chang, Peter C. W. Fung, Yeung Sam Hung
  • Post-Nonlinear Underdetermined ICA by Bayesian Statistics (757)
    Wai Lok Woo, Chen Wei, Li Chin Khor, Satnam Singh Dlay
  • Relationships Between the FastICA Algorithm and the Rayleigh Quotient Iteration (765)
    Scott Douglas
  • Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation (773)
    Scott Douglas, Zhijian Yuan, Erkki Oja
  • Multivariate scale mixture of Gaussians modeling (781)
    Torbjørn Eltoft, Taesu Kim, Te-Won Lee
  • Sparse Deflations in Blind Signal Separation (789)
    Pando Georgiev, Danielle Nuzillard, Anca Ralescu
  • A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking (805)
    Deniz Erdogmus, Tian Lan, Yonghong Huang
  • Analysis of Source Sparsity and Recoverability for SCA based Blind Source Separation (813)
    Yuanqing Li, Andrzej Cichocki
  • Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition (820)
    Jinwen Ma, Zhe Chen, Shun-ichi Amari
  • Super-Gaussian Mixture Source Model for ICA (836)
    Jason Palmer, Kenneth Kreutz-Delgado, Scott Makeig
  • Instantaneous MISO Separation of BPSK Sources (844)
    Maciej Pedzisz, Ali Mansour
  • Contrast Functions for BSS based on Time-Frequency Information-Theory (859)
    Mohamed Sahmoudi, Moeness Amin
3:30-4:00 Coffee Break
4:00-6:00 Oral Session 4 - Algorithms and Architectures (15 minutes)
  • New permutation algorithms for causal discovery using ICA (112)
    Patrik Hoyer, Shohei Shimizu, Aapo Hyvarinen, Yutaka Kano, Antti Kerminen
  • Partitioned factor analysis for interference supression and source extraction (184)
    Kenneth Hild, Srikantan Nagarajan, Hagai Attias, Kensuke Sekihara
  • Quadratic MIMO contrast functions for blind source separation in a convolutive context (224)
    Saloua Rhioui, Marc Castella, Eric Moreau
  • Separation of Periodically Time-Varying Mixtures using Second-Order Statistics (272)
    Arie Yeredor, Tzahi Weisman
  • Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis (288)
    Nishimori Yasunori, Shotaro Akaho, Mark Plumbley
  • A two-stage based approach for extracting periodic signals (296)
    Zhi-Lin Zhang, Liqing Zhang
  • Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation (686)
    Mikkel Schmidt, Morten Mørup
  • Enhancement of Source Independence for Blind Source Separation (717)
    Kun Zhang, Lai-Wan Chan
6:00-6:30 Break
6:30-8:30 Banquet Dinner

Wednesday, March 8

8:30-10:00 Oral Session 5 - Speech and Signal Processing (15 minutes)
  • A robust method to count and locate sources in a stereophonic linear instantaneous mixture (526)
    Simon Arberet, R´emi Gribonval, Fr´ed´eric Bimbot
  • Independent Component Analysis for Speech Enhancement with Missing TF Content (542)
    Doru Balcan, Justinian Rosca
  • Harmonic Source Separation and Polyphonic Pitch Detection Using Prestored Spectra (550)
    Mert Bay, James Beauchamp
  • Blind separation of sparse sources using Jeffrey's inverse prior and the EM algorithm (582)
    Cedric Fevotte, Simon Godsill
  • Monaural Music Source Separation: Nonnegativity, Shift-Invariance, and Sparseness (606)
    Seungjin Choi, Minje Kim
  • Speech Enhancement Using ICA with EMD-based Reference (725) Qiuhua Lin, Yong Rui Zheng, Fuliang Yin, Hualou Liang
10:00-10:30 Coffee Break
10:30-12:30 Special Session - "Separation of convolutive mixtures in real environments," Shoji Makino and Hiroshi Sawada
  • A Novel Normalization and Regularization Scheme for Broadband Convolutive BSS (518)
    Robert Aichner, Herbert Buchner, Walter Kellermann
  • On Calculating the Inverse of Separation Matrix in Frequency-Domain BSS (678)
    Hiroshi Sawada, Shoko Araki, Ryo Mukai, Shoji Makino
  • Solution of Permutation Problem in Frequency Domain ICA, using Multivariate PDFs (590)
    Atsuo Hiroe
  • Sparse coding for convolutive blind audio source separation (128)
    Maria Jafari, Samer Abdallah, Mark Plumbley, Mike Davies
  • Convolutive Demixing with Sparse Discrete Prior Models for Markov Sources (534)
    Radu Balan, Justinian Rosca
  • Separating Underdetermined Convolutive Speech Mixtures (662)
    Michael Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems
12:30-2:00 Lunch
2:00-4:00 Special Session - "Alternative models for audio source separation," Emmanuel Vincent and Mark Plumbley
  • Invited Talk by Dan Ellis, LabROSA, Columbia University
    Model-Based Separation in Humans and Machines
  • Invited Talk by DeLiang Wang, The Ohio State University
    An Auditory Scene Analysis Approach to Cocktail Party Processing
  • Single-channel Audio Source Separation with Bayesian Harmonic Models (709)
    Emmanuel Vincent, Mark Plumbley
  • Separation of Mixed Audio Signals by Source Localization and Binary Masking with Hilbert Spectrum (630)
    Md. Khademul Islam Molla, Keikichi Hirose, Nobuaki Minematsu
  • Estimating the Spatial Position of Spectral Components in Audio (654)
    R. Mitchell Parry, Irfan Essa
4:00-4:15 Closing Remarks