Conference Program – ICA 2009
Lecture Session I – Convolutive Mixtures
Session Chairs: Emmanuel Vincent (IRISA-INRIA, France) and Paris Smaragdis (Adobe Systems, USA)
- Modeling the Short Time Fourier Transform Ratio and Application to Underdetermined Audio Source Separation
Dinh-Tuan Pham, Zaher El-Chami, Alexandre Guérin, and Christine Servičre
- Blind Order Detection and Parameter Estimation of MISO-FIR Channels
Carlos Estevăo Fernandes, Pierre Comon, and Gérard Favier
- Adapted Deflation Approach for Referenced Contrast Optimization in Blind MIMO Convolutive Source Separation
Rémi Dubroca, Christophe De Luigi, and Eric Moreau
- A Method for Filter Shaping in Convolutive Blind Source Separation
Radoslaw Mazur and Alfred Mertins
- Online Subband Blind Source Separation For Convolutive Mixtures Using A Uniform Filter Bank With Critical Sampling
Paulo B. Batalheiro, Mariane R. Petraglia, and Diego B. Haddad
Poster Session I – Theory, Convolutive Mixtures and Communications
Session Chair: Charles Casimiro Cavalcante (UFC, Brazil)
- Blind Separation of Cyclostationary Signals
Nhat Anh Cheviet, Mohamed El Badaoui, Adel Belouchrani, and François Guillet
- Cebysev Coefficients-Based Algorithm for Estimating the ICA Model
Doru Constantin
- Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures
Konstantinos I. Diamantaras and Theophilos Papadimitriou
- Blind Source Separation of Post-Nonlinear Mixtures Using Evolutionary Computation and Gaussianization
Tiago M. Dias, Romis Attux, Joăo M. T. Romano, and Ricardo Suyama
- On IIR Filters and Convergence Acceleration For Convolutive Blind Source Separation
Diego B. Haddad, Mariane R. Petraglia, and Paulo B. Batalheiro
- Time Frequency Masking Strategy for Blind Source Separation of Acoustic Signals Based on Optimally-Modified LOG-Spectral Amplitude Estimator
Eugen Hoffmann, Dorothea Kolossa, and Reinhold Orglmeister
- Comparison of Two Main Approaches to Joint SVD
Gen Hori
- Solving the Acoustic Echo Cancellation Problem in Double-Talk Scenario Using Non-Gaussianity of the Near-End Signal
Intae Lee, Charles E. Kinney, Bowon Lee, and Antonius A. C. M. Kalker
- Bayesian Robust PCA for Incomplete Data
Jaakko Luttinen, Alexander Ilin, and Juha Karhunen
- Independent Component Analysis (ICA) using Pearsonian Density Function
Abhijit Mandal and Arnab Chakraborty
- Underdetermined BSS of MISO OSTBC Signals - Ali Mansour, Joe Youssef, and Koffi
Clement Yao
- An Analysis of Unsupervised Signal Processing Methods in the Context of Correlated Sources
Aline Neves, Cristina Wada, Ricardo Suyama, Romis Attux, and Joăo M. T. Romano
- Probabilistic Formulation of Independent Vector Analysis using Complex Gaussian Scale Mixtures
Jason Palmer, Scott Makeig, and Ken Kreutz-Delgado
- Blind Channel Identification in (2 x 1) Alamouti Coded Systems Based on Maximizing the Eigenvalue Spread of Cumulant Matrices
Héctor Pérez-Iglesias, Daniel Iglesia, Adriana Dapena, and Vicente Zarzoso
- Least Square Joint Diagonalization of Matrices Under an Intrinsic Scale Constraint
Dinh-Tuan Pham and Marco Congedo
- Blind Separation of Noisy Mixtures of Non-Stationary Sources Using Spectral Decorrelation
Hicham Saylani, Shahram Hosseini, and Yannick Deville
- Audio Watermark Detection Using Undetermined ICA
Jongwon Seok and Hafiz Malik
- Separation of Convolutive Mixtures with Hybrid Sources
Christine Servičre
- Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles
Zoltán Szabó and András Lörincz
- Soft Dimension Reduction for ICA by Joint Diagonalization on the Stiefel Manifold
Fabian J. Theis, Thomas P. Cason, and P.-A. Absil
- Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction
Shikui Tu and Lei Xu
- Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System
Cristina Wada, Douglas M. Consolaro, Rafael Ferrari, Ricardo Suyama, Romis Attux, and Fernando J. Von Zuben
- ICA by Maximizing Non-Stability
Baijie Wang, Ercan E. Kuruoglu, and Junying Zhang
Lecture Session II - Theory
Session Chairs: Tulay Adali (UMBC, USA) and Dinh-Tuan Pham (UJF - Grenoble INP, France)
- On Optimal Selection of Correlation Matrices for Matrix-Pencil-Based Separation
Arie Yeredor
- Blind Non-Stationary Sources Separation by Sparsity in a Linear Instantaneous Mixture
Bertrand Rivet
- On the Relationships Between MMSE and Information-Theoretic-Based Blind Criterion for Minimum BER Filtering
Charles C. Cavalcante and Joăo M. T. Romano
- Estimating Squared-loss Mutual Information for Independent Component Analysis
Taiji Suzuki and Masashi Sugiyama
- Minimum Determinant Constraint for Non-negative Matrix Factorization
Reinhard Schachtner, Gerhard Pöppel, Ana Maria Tomé, and Elmar W. Lang
Lecture Session III: Semi-Blind Source Separation / Evaluation Session Paper
Session Chairs: Fabian Theis (Helmholtz Zentrum München, Germany) and Christian Jutten (INPG, France)
- Using Signal Invariants to Perform Nonlinear Blind Source Separation
David N. Levin
- Reference Based Contrast Functions in a Semi-Blind Context
Marc Castella and Eric Moreau
- ICA with Sparse Connections: Revisited
Kun Zhang, Heng Peng, Laiwan Chan, and Aapo Hyvärinen
- Extension of Sparse, Adaptive Signal Decompositions to Semi-Blind Audio Source Separation
Andrew Nesbit, Emmanuel Vincent, and Mark D. Plumbley
- The 2008 Signal Separation Evaluation Campaign: A Community-Based Approach to Large-Scale Evaluation
Emmanuel Vincent, Shoko Araki, and Pau Bofill
Poster Session II – Special Session on Evaluation / Applications
Session Chair: Mariane Rembold Petraglia (UFRJ, Brazil)
Applications
- Segmentation of Natural and Man-Made Structures by Independent Component Analysis
André Cavalcante, Fausto Lucena, Allan Kardec Barros, Yoshinori Takeuchi, and Noboru Ohnishi
- An Implementation of Floral Scent Recognition System using ICA combined with Correlation Coefficients
Byeong-Geun Cheon, Yong-Wan Roh, Dong-Ju Kim, and Kwang-Seok Hong
- Topographic Independent Component Analysis Based on Fractal and Morphology Applied to Texture Segmentation
Klaus Fabian Côco, Evandro Ottoni Teatini Salles, and Mario Sarcinelli Filho
- ICA-Based Method for Quantifying EEG Event Related Desynchronization
Danton Ferreira, Antônio M. F. L. Miranda de Sá, Augusto Santiago Cerqueira, and José Manoel de Seixas
- Localization of Generalized Discharge Sources in Patients with Juvenile Myoclonic Epilepsy Using Independent Components Analysis
Sidcley P. Gomes, Patrícia da Silva Sousa-Carvalho, Enio Aguiar, Anderson B. Silva, Fábio M. Braga, and Allan Kardec Barros
- Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings
Cédric Gouy-Pailler, Reza Sameni, Marco Congedo, and Christian Jutten
- Denoising Single Trial Event Related Magnetoencephalographic Recordings
Elina Karp, Lauri Parkkonen, and Ricardo Vigário
- Image Source Separation using Color Channel Dependencies
Koray Kayabol, Ercan E. Kuruoglu, and Bulent Sankur
- Learning Natural Image Structure with a Horizontal Product Model
Urs Köster, Jussi T. Lindgren, Michael Gutmann, and Aapo Hyvärinen
- Estimating Markov Random Field Potentials for Natural Images
Urs Köster, Jussi T. Lindgren, and Aapo Hyvärinen
- Atrial Activity Extraction based on Statistical and Spectral Features
Raul Llinares, Jorge Igual, Addisson Salazar, Julio Miró-Borrás, and Arturo Serrano
- ICA Mixture Modeling for the Classification of Materials in Impact-Echo Testing
Addisson Salazar, Arturo Serrano, Raul Llinares, Luis Vergara, and Jorge Igual
- High-Energy Particles Online Discriminators Based on Nonlinear Independent Components
Eduardo Simas Filho, José Manoel de Seixas, and Luiz P. Calôba
- BSS-Based Feature Extraction for Skin Lesion Image Classification
Hans Georg Stockmeier, Heidi Bäcker, Wolfgang Bäumler, and Elmar W. Lang
- Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
Fabian J. Theis and Florian Blöchl
- Blind Decomposition of Spectral Imaging Microscopy: A Study on Artificial and Real Test Data
Fabian J. Theis, Richard Neher, and Andre Zeug
- Spike Detection and Sorting: Combining Algebraic Differentiations with ICA
Zoran Tiganj and Mamadou Mboup
- Image Denoising Using Sparse Representation
SeyyedMajid Valiollahzadeh, Hamed Firouzi, Massoud Babaie-Zadeh, and Christian Jutten
- Network Traffic Flow Separation and Control Through a Hybrid ICA-Fuzzy Adaptive Algorithm
Flávio Henrique Teles Vieira, Lígia Maria Carvalho Sousa, George E. Bozinis, and Wesley F. de Miranda
- Arabica: Robust ICA in a Pipeline
Jarkko Ylipaavalniemi and Jyri Soppela
Lecture Session IV: Applications
Session Chairs: Ricardo Vigario (HUT, Finland) and Shoko Araki (NTT, Japan)
- Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources
Matthieu Puigt, Emmanuel Vincent, and Yannick Deville
- Bayesian Non-Negative Matrix Factorization
Mikkel Schmidt, Lars Kai Hansen, and Ole Winther
- Ion-selective Electrode Array based on a Bayesian Nonlinear Source Separation Method
Leonardo Tomazeli Duarte, Christian Jutten, and Saďd Moussaoui
- Eye Movement Quantification In Functional MRI Data By Spatial Independent Component Analysis
Ingo R. Keck, Volker Fischer, Carlos G. Puntonet, and Elmar W. Lang
- Target Speech Enhancement in Presence of Jammer and Diffuse Background Noise
Jani Even, Hiroshi Saruwatari, and Kiyohiro Shikano
Lecture Session V: Subspace Decompositions
Session Chair: Arie Yeredor (Tel-Aviv University, Israel)
- Optimal Performance of Second-Order Multidimensional ICA
Dana Lahat, Jean-François Cardoso, and Hagit Messer
- Stationary Subspace Analysis
Paul von Buenau, Frank C. Meinecke, and Klaus-Robert Müller
- A Novel Subspace Clustering Method for Dictionary Design
B. Vikrham Gowreesunker and Ahmed H. Tewfik
- Non-Independent BSS: A Model for Evoked MEG Signals with Controllable Dependencies
Florian Kohl, Gerd Wübbeler, Dorothea Kolossa, Clemens Elster, Markus Bär, and Reinhold Orglmeister
- Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Peter Gruber, Harold W. Gutch, and Fabian J. Theis
Poster Session III – Algorithms (Nonnegative Decompositions / Time-Frequency, Subspace and Sparsity-Based Approaches)
Session Chair: Romis Attux (UNICAMP, Brazil)
- Source Separation of Phase-Locked Subspaces
Miguel Almeida and Ricardo Vigário
- Nonnegative Network Component Analysis by Linear Programming for Gene Regulatory Network Reconstruction
Chunqi Chang, Zhi Ding, and Yeung Sam Hung
- Constructing Time-Frequency Dictionaries for Source Separation via Time-Frequency Masking and Source Localisation
Ruairi de Fréin, Scott T. Rickard, and Barak A. Pearlmutter
- A Robust and Precise Solution to Permutation Indeterminacy and Complex Scaling Ambiguity in BSS-based Blind MIMO-OFDM Receiver
Mahdi Khosravy, Mohammad Reza Alsharif, Bin Guo, Hai Lin, and Katsumi Yamashita
- A Cascade System for Solving Permutation and Gain Problems in Frequency-Domain BSS
Daniel Iglesia, Héctor Pérez-Iglesias, and Adriana Dapena
- Narrow-band Short-Time Frequency-Domain Blind Signal Separation of Passive Sonar Signals
Natanael Nunes de Moura, José Manoel de Seixas, and Eduardo Simas Filho
- An ICA-Based Method for Blind Source Separation in Sparse Domains
Everton Z. Nadalin, Ricardo Suyama, and Romis Attux
- Blind Source Separation of Sparse Overcomplete Mixtures and Application to Neural Recordings
Michal Natora, Felix Franke, Matthias Munk, and Klaus Obermayer
- Cumulative State Coherence Transform for a Robust Two-Channel Multiple Source Localization
Francesco Nesta, Piergiorgio Svaizer, and Maurizio Omologo
- Image Coding and Compression by Sparse 3D Discrete Cosine Transform
Hamid Palangi, Aboozar Ghaffari, Massoud Babaie-Zadeh, and Christian Jutten
- Iterative-Shift Cluster-Based Time-Frequency BSS for Fractional-Time-Delay Mixtures
Matthieu Puigt and Yannick Deville
- Blind Source Separation with Spatio-Spectral Sparsity Constraints - Application to Hyperspectral Data Analysis
Yassir Moudden, Jerome Bobin, Jean-Luc Starck, and Jalal Fadili
- Limitations of the Spectrum Masking Technique for Blind Source Separation
Gustavo Fernandes Rodrigues and Hani Camille Yehia
- Improvement of the Initialization of ICA Time-Frequency Algorithms for Speech Separation
Auxiliadora Sarmiento, Sergio Cruces, and Iván Durán
- Binary Nonnegative Matrix Factorization Applied to Semi-Conductor Wafer Test Sets
Reinhard Schachtner, Gerhard Pöppel, and Elmar W. Lang
- Probabilistic Factorization of Non-Negative Data with Entropic Co-occurrence Constraints
Paris Smaragdis, Madhusudana Shashanka, Bhiksha Raj, and Gautham J. Mysore
- Blind Extraction of Chaotic Sources from Gaussian White Noise Based on a Measure of Determinism
Diogo C. Soriano, Ricardo Suyama, and Romis Attux
- A Sparsity-Based Method to Solve Permutation Indeterminacy in Frequency-Domain Convolutive Blind Source Separation
Prasad Sudhakar and Rémi Gribonval
- Canonical Dual Approach to Binary Factor Analysis
Ke Sun, Shikui Tu, David Yang Gao, and Lei Xu
- Complete Blind Subspace Deconvolution
Zoltán Szabó
- Estimating Phase Linearity in The Frequency-Domain ICA Demixing Matrix
Keisuke Toyama and Mark D. Plumbley
- Factor Analysis as Data Matrix Decomposition: A New Approach for Quasi-Sphering in Noisy ICA
Steffen Unkel and Nickolay T. Trendafilov
- Signal Subspace Separation based on the Divergence Measure of a set of Wavelets Coefficients
Vincent Vigneron and Aurélien Hazan
- Mixtures of Gamma Priors for Non-Negative Matrix Factorization Based Speech Separation
Tuomas Virtanen and Ali Taylan Cemgil