Independent Component Analysis and Signal Separation: 7th International Conference, ICA 2007, London, UK, September 9-12, 2007. Proceedings

Jean-François Cardoso, Maude Martin (auth.), Mike E. Davies, Christopher J. James, Samer A. Abdallah, Mark D Plumbley (eds.)3540744932, 9783540744931

This volume contains the papers presented at the 7th International Conference on Independent Component Analysis (ICA) and Source Separation held in L- don, 9–12 September 2007, at Queen Mary, University of London. Independent Component Analysis and Signal Separation is one of the most exciting current areas of research in statistical signal processing and unsup- vised machine learning. The area has received attention from several research communities including machine learning, neural networks, statistical signal p- cessing and Bayesian modeling. Independent Component Analysis and Signal Separation has applications at the intersection of many science and engineering disciplinesconcernedwithunderstandingandextractingusefulinformationfrom data as diverse as neuronal activity and brain images, bioinformatics, com- nications, the World Wide Web, audio, video, sensor signals, or time series. This year’s event was organized by the EPSRC-funded UK ICA Research Network (www.icarn.org). There was also a minor change to the conference title this year with the exclusion of the word‘blind’. The motivation for this was the increasing number of interesting submissions using non-blind or semi-blind techniques that did not really warrant this label. Evidence of the continued interest in the ?eld was demonstrated by the healthy number of submissions received, and of the 149 papers submitted just over two thirds were accepted.

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Table of contents :
Front Matter….Pages –
A Flexible Component Model for Precision ICA….Pages 1-8
Blind Separation of Instantaneous Mixtures of Dependent Sources….Pages 9-16
The Complex Version of the Minimum Support Criterion….Pages 17-24
Optimal Joint Diagonalization of Complex Symmetric Third-Order Tensors. Application to Separation of Non Circular Signals….Pages 25-32
Imposing Independence Constraints in the CP Model….Pages 33-40
Blind Source Separation of a Class of Nonlinear Mixtures….Pages 41-48
Independent Subspace Analysis Is Unique, Given Irreducibility….Pages 49-56
Optimization on the Orthogonal Group for Independent Component Analysis….Pages 57-64
Using State Space Differential Geometry for Nonlinear Blind Source Separation….Pages 65-72
Copula Component Analysis….Pages 73-80
On Separation of Signal Sources Using Kernel Estimates of Probability Densities….Pages 81-88
Shifted Independent Component Analysis….Pages 89-96
Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities….Pages 97-104
On the Relationships Between Power Iteration, Inverse Iteration and FastICA….Pages 105-112
A Sufficient Condition for the Unique Solution of Non-Negative Tensor Factorization….Pages 113-120
Colored Subspace Analysis….Pages 121-128
Is the General Form of Renyi’s Entropy a Contrast for Source Separation?….Pages 129-136
A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources….Pages 137-144
A New Source Extraction Algorithm for Cyclostationary Sources….Pages 145-151
A Robust Complex FastICA Algorithm Using the Huber M-Estimator Cost Function….Pages 152-160
Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation….Pages 161-168
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization….Pages 169-176
Pivot Selection Strategies in Jacobi Joint Block-Diagonalization….Pages 177-184
Speeding Up FastICA by Mixture Random Pruning….Pages 185-192
An Algebraic Non Orthogonal Joint Block Diagonalization Algorithm for Blind Separation of Convolutive Mixtures of Sources….Pages 193-200
Non Unitary Joint Block Diagonalization of Complex Matrices Using a Gradient Approach….Pages 201-208
A Toolbox for Model-Free Analysis of fMRI Data….Pages 209-217
An Eigenvector Algorithm with Reference Signals Using a Deflation Approach for Blind Deconvolution….Pages 218-226
Robust Independent Component Analysis Using Quadratic Negentropy….Pages 227-235
Underdetermined Source Separation Using Mixtures of Warped Laplacians….Pages 236-243
Blind Separation of Cyclostationary Sources Using Joint Block Approximate Diagonalization….Pages 244-251
Independent Process Analysis Without a Priori Dimensional Information….Pages 252-259
An Evolutionary Approach for Blind Inversion of Wiener Systems….Pages 260-267
A Complexity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing….Pages 268-276
Smooth Component Analysis as Ensemble Method for Prediction Improvement….Pages 277-284
Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions….Pages 285-292
Comparative Speed Analysis of FastICA….Pages 293-300
Kernel-Based Nonlinear Independent Component Analysis….Pages 301-308
Linear Prediction Based Blind Source Extraction Algorithms in Practical Applications….Pages 309-316
Blind Audio Source Separation Using Sparsity Based Criterion for Convolutive Mixture Case….Pages 317-324
Maximization of Component Disjointness: A Criterion for Blind Source Separation….Pages 325-332
Estimator for Number of Sources Using Minimum Description Length Criterion for Blind Sparse Source Mixtures….Pages 333-340
Compressed Sensing and Source Separation….Pages 341-348
Morphological Diversity and Sparsity in Blind Source Separation….Pages 349-356
Identifiability Conditions and Subspace Clustering in Sparse BSS….Pages 357-364
Two Improved Sparse Decomposition Methods for Blind Source Separation….Pages 365-372
Probabilistic Geometric Approach to Blind Separation of Time-Varying Mixtures….Pages 373-380
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis….Pages 381-388
Fast Sparse Representation Based on Smoothed ℓ 0 Norm….Pages 389-396
Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem….Pages 397-405
Dictionary Learning for L1-Exact Sparse Coding….Pages 406-413
Supervised and Semi-supervised Separation of Sounds from Single-Channel Mixtures….Pages 414-421
Image Compression by Redundancy Reduction….Pages 422-429
Complex Nonconvex l p Norm Minimization for Underdetermined Source Separation….Pages 430-437
Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm….Pages 438-445
Mutual Interdependence Analysis (MIA)….Pages 446-453
Modeling Perceptual Similarity of Audio Signals for Blind Source Separation Evaluation….Pages 454-461
Beamforming Initialization and Data Prewhitening in Natural Gradient Convolutive Blind Source Separation of Speech Mixtures….Pages 462-470
Blind Vector Deconvolution: Convolutive Mixture Models in Short-Time Fourier Transform Domain….Pages 471-479
A Batch Algorithm for Blind Source Separation of Acoustic Signals Using ICA and Time-Frequency Masking….Pages 480-487
The Role of High Frequencies in Convolutive Blind Source Separation of Speech Signals….Pages 488-494
Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution….Pages 495-503
Blind Signal Deconvolution as an Instantaneous Blind Separation of Statistically Dependent Sources….Pages 504-511
Solving the Permutation Problem in Convolutive Blind Source Separation….Pages 512-519
Discovering Convolutive Speech Phones Using Sparseness and Non-negativity….Pages 520-527
Frequency-Domain Implementation of a Time-Domain Blind Separation Algorithm for Convolutive Mixtures of Sources….Pages 528-535
Phase-Aware Non-negative Spectrogram Factorization….Pages 536-543
Probabilistic Amplitude Demodulation….Pages 544-551
First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results….Pages 552-559
‘Shadow BSS’ for Blind Source Separation in Rapidly Time-Varying Acoustic Scenes….Pages 560-568
Evaluation of Propofol Effects in Atrial Fibrillation Using Principal and Independent Component Analysis….Pages 569-576
Space-Time ICA and EM Brain Signals….Pages 577-584
Extraction of Gastric Electrical Response Activity from Magnetogastrographic Recordings by DCA….Pages 585-592
ECG Compression by Efficient Coding….Pages 593-600
Detection of Paroxysmal EEG Discharges Using Multitaper Blind Signal Source Separation….Pages 601-608
Constrained ICA for the Analysis of High Stimulus Rate Auditory Evoked Potentials….Pages 609-616
Gradient Convolution Kernel Compensation Applied to Surface Electromyograms….Pages 617-624
Independent Component Analysis of Functional Magnetic Resonance Imaging Data Using Wavelet Dictionaries….Pages 625-632
Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis….Pages 633-640
Extraction of Atrial Activity from the ECG by Spectrally Constrained ICA Based on Kurtosis Sign….Pages 641-648
Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays….Pages 649-656
Perception of Transformation-Invariance in the Visual Pathway….Pages 657-664
Subspaces of Spatially Varying Independent Components in fMRI….Pages 665-672
Multi-modal ICA Exemplified on Simultaneously Measured MEG and EEG Data….Pages 673-680
Blind Signal Separation Methods for the Identification of Interstellar Carbonaceous Nanoparticles….Pages 681-688
Specific Circumstances on the Ability of Linguistic Feature Extraction Based on Context Preprocessing by ICA….Pages 689-696
Conjugate Gamma Markov Random Fields for Modelling Nonstationary Sources….Pages 697-705
Blind Separation of Quantum States: Estimating Two Qubits from an Isotropic Heisenberg Spin Coupling Model….Pages 706-713
An Application of ICA to BSS in a Container Gantry Crane Cabin’s Model….Pages 714-721
Blind Separation of Non-stationary Images Using Markov Models….Pages 722-729
Blind Instantaneous Noisy Mixture Separation with Best Interference-Plus-Noise Rejection….Pages 730-737
Compact Representations of Market Securities Using Smooth Component Extraction….Pages 738-745
Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images….Pages 746-753
ICA-Based Image Analysis for Robot Vision….Pages 754-761
Learning of Translation-Invariant Independent Components: Multivariate Anechoic Mixtures….Pages 762-769
Channel Estimation for O-STBC MISO Systems Using Fourth-Order Cross-Cumulants….Pages 770-777
System Identification in Structural Dynamics Using Blind Source Separation Techniques….Pages 778-785
Image Similarity Based on Hierarchies of ICA Mixtures….Pages 786-793
Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses….Pages 794-801
Top-Down Versus Bottom-Up Processing in the Human Brain: Distinct Directional Influences Revealed by Integrating SOBI and Granger Causality….Pages 802-809
Noisy Independent Component Analysis as a Method of Rotating the Factor Scores….Pages 810-817
Multilinear (Tensor) ICA and Dimensionality Reduction….Pages 818-826
ICA in Boolean XOR Mixtures….Pages 827-835
A Novel ICA-Based Image/Video Processing Method….Pages 836-842
Blind Audio Source Separation Based on Independent Component Analysis….Pages 843-843
Back Matter….Pages –