independent component analysis

The 'tree-dependent components' of natural scenes are edge filters NeurIPS 2009 ICA based on a Smooth Estimation of the Differential Entropy NeurIPS 2008 Kernel Measures of Independence for non-iid Data NeurIPS 2008 Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008 Reducing statistical dependencies in natural signals using radial Gaussianization NeurIPS 2008 An online Hebbian learning rule that performs Independent Component Analysis NeurIPS 2007 Undercomplete Blind Subspace Deconvolution JMLR 2007 A Linear Non-Gaussian Acyclic Model for Causal Discovery JMLR 2006 Emergence of conjunctive visual features by quadratic independent component analysis NeurIPS 2006 Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NeurIPS 2006 Recursive ICA NeurIPS 2006 Towards a general independent subspace analysis NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006 Denoising Source Separation JMLR 2005 Estimating Functions for Blind Separation When Sources Have Variance Dependencies JMLR 2005 Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005 Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005 Separating a Real-Life Nonlinear Image Mixture JMLR 2005 Weather Data Mining Using Independent Component Analysis JMLR 2004 A Generative Model for Separating Illumination and Reflectance from Images JMLR 2003 A Maximum Likelihood Approach to Single-channel Source Separation JMLR 2003 Beyond Independent Components: Trees and Clusters JMLR 2003 Dependence, Correlation and Gaussianity in Independent Component Analysis JMLR 2003 Energy-Based Models for Sparse Overcomplete Representations JMLR 2003 ICA for Watermarking Digital Images JMLR 2003