Blind separation of sources, Part II: problems statement
Signal Processing
Elements of information theory
Elements of information theory
Neural Computation
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Neural Computation
A fast fixed-point algorithm for independent component analysis
Neural Computation
Factorial Hidden Markov Models
Machine Learning - Special issue on learning with probabilistic representations
GTM: the generative topographic mapping
Neural Computation
Learning nonlinear overcomplete representations for efficient coding
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
EM algorithms for PCA and SPCA
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Inferring sparse, overcomplete image codes using an efficient coding framework
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
A view of the EM algorithm that justifies incremental, sparse, and other variants
Learning in graphical models
A unifying review of linear Gaussian models
Neural Computation
Learning linear, sparse, factorial codes
Learning linear, sparse, factorial codes
Mean field theory for sigmoid belief networks
Journal of Artificial Intelligence Research
Blind separation of instantaneous mixture of sources via anindependent component analysis
IEEE Transactions on Signal Processing
Equivariant adaptive source separation
IEEE Transactions on Signal Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Unified Model for Probabilistic Principal Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ensemble of Independent Factor Analyzers with Application to Natural Image Analysis
Neural Processing Letters
Deterministic Generative Models for Fast Feature Discovery
Data Mining and Knowledge Discovery
Blind Source Separation for Non-Stationary Mixing
Journal of VLSI Signal Processing Systems
Blind separation methods based on Pearson system and its extensions
Signal Processing
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
Journal of Intelligent Information Systems
The Problem of Sparse Image Coding
Journal of Mathematical Imaging and Vision
Estimating Overcomplete Independent Component Bases for Image Windows
Journal of Mathematical Imaging and Vision
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised learning in neural computation
Theoretical Computer Science - Natural computing
Mean-field approaches to independent component analysis
Neural Computation
Variational mixture of Bayesian independent component analyzers
Neural Computation
Dictionary learning algorithms for sparse representation
Neural Computation
On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Bayesian Independent Component Analysis as Applied to One-Channel Speech Enhancement
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Fast Score Function Estimation with Application in ICA
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches
Neural Processing Letters
Variational Bayesian learning of ICA with missing data
Neural Computation
Kernel independent component analysis
The Journal of Machine Learning Research
Variational learning of clusters of undercomplete nonsymmetric independent components
The Journal of Machine Learning Research
Think globally, fit locally: unsupervised learning of low dimensional manifolds
The Journal of Machine Learning Research
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
Energy-based models for sparse overcomplete representations
The Journal of Machine Learning Research
A generative model for separating illumination and reflectance from images
The Journal of Machine Learning Research
Hierarchical models of variance sources
Signal Processing - Special issue on independent components analysis and beyond
Hierarchy, priors and wavelets: structure and signal modelling using ICA
Signal Processing - Special issue on independent components analysis and beyond
Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior
Journal of VLSI Signal Processing Systems
Convolutional factor graphs as probabilistic models
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
Energy-based models for sparse overcomplete representations
The Journal of Machine Learning Research
A generative model for separating illumination and reflectance from images
The Journal of Machine Learning Research
Source separation in astrophysical maps using independent factor analysis
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
On the Effect of the Form of the Posterior Approximation in Variational Learning of ICA Models
Neural Processing Letters
Neural Computation
One-Bit-Matching Conjecture for Independent Component Analysis
Neural Computation
Blind Source Separation by Sparse Decomposition in a Signal Dictionary
Neural Computation
A Constrained EM Algorithm for Independent Component Analysis
Neural Computation
A Variational Method for Learning Sparse and Overcomplete Representations
Neural Computation
Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures
Neural Computation
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
A Maximum-Likelihood Interpretation for Slow Feature Analysis
Neural Computation
Noisy-OR Component Analysis and its Application to Link Analysis
The Journal of Machine Learning Research
Building Blocks for Variational Bayesian Learning of Latent Variable Models
The Journal of Machine Learning Research
A parametric density model for blind source separation
Neural Processing Letters
Temporally correlated source separation using variational Bayesian learning approach
Digital Signal Processing
Variational and stochastic inference for Bayesian source separation
Digital Signal Processing
Blind separation of nonlinear mixtures by variational Bayesian learning
Digital Signal Processing
An informed source separation of astrophysical ice analogs
Digital Signal Processing
Independent factor discriminant analysis
Computational Statistics & Data Analysis
Estimation of causal effects using linear non-Gaussian causal models with hidden variables
International Journal of Approximate Reasoning
Dependent Component Analysis: A Hyperspectral Unmixing Algorithm
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Variational Bayesian functional PCA
Computational Statistics & Data Analysis
Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
A source adaptive independent component analysis algorithm through solving the estimating equation
Expert Systems with Applications: An International Journal
Bayesian separation of images modeled with MRFs using MCMC
IEEE Transactions on Image Processing
Bayesian inference in non-Gaussian factor analysis
Statistics and Computing
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Blind source separation based on self-organizing neural network
Engineering Applications of Artificial Intelligence
Multichannel nonnegative matrix factorization in convolutive mixtures for audio source separation
IEEE Transactions on Audio, Speech, and Language Processing
Conjugate gamma Markov random fields for modelling nonstationary sources
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Journal of Biomedical Imaging - Special issue on mathematical methods for images and surfaces
Glimpsing IVA: a framework for overcomplete/complete/undercomplete convolutive source separation
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
IEEE Transactions on Image Processing
Blind extraction of global signal from multi-channel noisy observations
IEEE Transactions on Neural Networks
Blind source separation with time series variational Bayes expectation maximization algorithm
Digital Signal Processing
Inferring parameters and structure of latent variable models by variational bayes
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Tree-dependent component analysis
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Robust ICA neural network and application on synthetic aperture radar (SAR) image analysis
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
A step by step optimization approach to independent component analysis
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
An EM method for spatio-temporal blind source separation using an AR-MOG source model
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Super-Gaussian mixture source model for ICA
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Bayesian independent component analysis with prior constraints: an application in biosignal analysis
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Variational bayesian method for temporally correlated source separation
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
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