Independent Component Analysis and Signal Separation

Theory.- A Flexible Component Model for Precision ICA.- Blind Separation of Instantaneous Mixtures of Dependent Sources.- The Complex Version of the Minimum Support Criterion.- Optimal Joint Diagonalization of Complex Symmetric Third-Order Tensors. Application to Separation of Non Circular Signals.- Imposing Independence Constraints in the CP Model.- Blind Source Separation of a Class of Nonlinear Mixtures.- Independent Subspace Analysis Is Unique, Given Irreducibility.- Optimization on the Orthogonal Group for Independent Component Analysis.- Using State Space Differential Geometry for Nonlinear Blind Source Separation.- Copula Component Analysis.- On Separation of Signal Sources Using Kernel Estimates of Probability Densities.- Shifted Independent Component Analysis.- Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities.- On the Relationships Between Power Iteration, Inverse Iteration and FastICA.- A Sufficient Condition for the Unique Solution of Non-Negative Tensor Factorization.- Colored Subspace Analysis.- Is the General Form of Renyi’s Entropy a Contrast for Source Separation?.- Algorithms.- A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources.- A New Source Extraction Algorithm for Cyclostationary Sources.- A Robust Complex FastICA Algorithm Using the Huber M-Estimator Cost Function.- Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation.- Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization.- Pivot Selection Strategies in Jacobi Joint Block-Diagonalization.- Speeding Up FastICA by Mixture Random Pruning.- An Algebraic Non Orthogonal Joint Block Diagonalization Algorithm for Blind Separation of Convolutive Mixtures of Sources.- Non Unitary Joint Block Diagonalization of Complex Matrices Using a Gradient Approach.- A Toolbox for Model-Free Analysis of fMRI Data.- An Eigenvector Algorithm with Reference Signals Using a Deflation Approach for Blind Deconvolution.- Robust Independent Component Analysis Using Quadratic Negentropy.- Underdetermined Source Separation Using Mixtures of Warped Laplacians.- Blind Separation of Cyclostationary Sources Using Joint Block Approximate Diagonalization.- Independent Process Analysis Without a Priori Dimensional Information.- An Evolutionary Approach for Blind Inversion of Wiener Systems.- A Complexity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing.- Smooth Component Analysis as Ensemble Method for Prediction Improvement.- Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions.- Comparative Speed Analysis of FastICA.- Kernel-Based Nonlinear Independent Component Analysis.- Linear Prediction Based Blind Source Extraction Algorithms in Practical Applications.- Sparse Methods.- Blind Audio Source Separation Using Sparsity Based Criterion for Convolutive Mixture Case.- Maximization of Component Disjointness: A Criterion for Blind Source Separation.- Estimator for Number of Sources Using Minimum Description Length Criterion for Blind Sparse Source Mixtures.- Compressed Sensing and Source Separation.- Morphological Diversity and Sparsity in Blind Source Separation.- Identifiability Conditions and Subspace Clustering in Sparse BSS.- Two Improved Sparse Decomposition Methods for Blind Source Separation.- Probabilistic Geometric Approach to Blind Separation of Time-Varying Mixtures.- Infinite Sparse Factor Analysis and Infinite Independent Components Analysis.- Fast Sparse Representation Based on Smoothed ?0 Norm.- Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem.- Dictionary Learning for L1-Exact Sparse Coding.- Supervised and Semi-supervised Separation of Sounds from Single-Channel Mixtures.- Image Compression by Redundancy Reduction.- Complex Nonconvex l p Norm Minimization for Underdetermined Source Separation.- Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm.- Speech and Audio Applications.- Mutual Interdependence Analysis (MIA).- Modeling Perceptual Similarity of Audio Signals for Blind Source Separation Evaluation.- Beamforming Initialization and Data Prewhitening in Natural Gradient Convolutive Blind Source Separation of Speech Mixtures.- Blind Vector Deconvolution: Convolutive Mixture Models in Short-Time Fourier Transform Domain.- A Batch Algorithm for Blind Source Separation of Acoustic Signals Using ICA and Time-Frequency Masking.- The Role of High Frequencies in Convolutive Blind Source Separation of Speech Signals.- Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution.- Blind Signal Deconvolution as an Instantaneous Blind Separation of Statistically Dependent Sources.- Solving the Permutation Problem in Convolutive Blind Source Separation.- Discovering Convolutive Speech Phones Using Sparseness and Non-negativity.- Frequency-Domain Implementation of a Time-Domain Blind Separation Algorithm for Convolutive Mixtures of Sources.- Phase-Aware Non-negative Spectrogram Factorization.- Probabilistic Amplitude Demodulation.- First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results.- ‘Shadow BSS’ for Blind Source Separation in Rapidly Time-Varying Acoustic Scenes.- Biomedical Applications.- Evaluation of Propofol Effects in Atrial Fibrillation Using Principal and Independent Component Analysis.- Space-Time ICA and EM Brain Signals.- Extraction of Gastric Electrical Response Activity from Magnetogastrographic Recordings by DCA.- ECG Compression by Efficient Coding.- Detection of Paroxysmal EEG Discharges Using Multitaper Blind Signal Source Separation.- Constrained ICA for the Analysis of High Stimulus Rate Auditory Evoked Potentials.- Gradient Convolution Kernel Compensation Applied to Surface Electromyograms.- Independent Component Analysis of Functional Magnetic Resonance Imaging Data Using Wavelet Dictionaries.- Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis.- Extraction of Atrial Activity from the ECG by Spectrally Constrained ICA Based on Kurtosis Sign.- Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays.- Perception of Transformation-Invariance in the Visual Pathway.- Subspaces of Spatially Varying Independent Components in fMRI.- Multi-modal ICA Exemplified on Simultaneously Measured MEG and EEG Data.- Miscellaneous.- Blind Signal Separation Methods for the Identification of Interstellar Carbonaceous Nanoparticles.- Specific Circumstances on the Ability of Linguistic Feature Extraction Based on Context Preprocessing by ICA.- Conjugate Gamma Markov Random Fields for Modelling Nonstationary Sources.- Blind Separation of Quantum States: Estimating Two Qubits from an Isotropic Heisenberg Spin Coupling Model.- An Application of ICA to BSS in a Container Gantry Crane Cabin’s Model.- Blind Separation of Non-stationary Images Using Markov Models.- Blind Instantaneous Noisy Mixture Separation with Best Interference-Plus-Noise Rejection.- Compact Representations of Market Securities Using Smooth Component Extraction.- Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images.- ICA-Based Image Analysis for Robot Vision.- Learning of Translation-Invariant Independent Components: Multivariate Anechoic Mixtures.- Channel Estimation for O-STBC MISO Systems Using Fourth-Order Cross-Cumulants.- System Identification in Structural Dynamics Using Blind Source Separation Techniques.- Image Similarity Based on Hierarchies of ICA Mixtures.- Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses.- Top-Down Versus Bottom-Up Processing in the Human Brain: Distinct Directional Influences Revealed by Integrating SOBI and Granger Causality.- Noisy Independent Component Analysis as a Method of Rotating the Factor Scores.- Multilinear (Tensor) ICA and Dimensionality Reduction.- ICA in Boolean XOR Mixtures.- A Novel ICA-Based Image/Video Processing Method.- Keynote Talk.- Blind Audio Source Separation Based on Independent Component Analysis.