Unsupervised Learning

ICA based on a Smooth Estimation of the Differential Entropy NeurIPS 2008 Influence of graph construction on graph-based clustering measures NeurIPS 2008 Learning Taxonomies by Dependence Maximization NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 Measures of Clustering Quality: A Working Set of Axioms for Clustering NeurIPS 2008 Natural Image Denoising with Convolutional Networks NeurIPS 2008 Non-parametric Regression Between Manifolds NeurIPS 2008 Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NeurIPS 2008 Reducing statistical dependencies in natural signals using radial Gaussianization NeurIPS 2008 Robust Kernel Principal Component Analysis NeurIPS 2008 Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NeurIPS 2008 Short-Term Depression in VLSI Stochastic Synapse NeurIPS 2008 Supervised Dictionary Learning NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 Unsupervised Learning of Visual Sense Models for Polysemous Words NeurIPS 2008 An online Hebbian learning rule that performs Independent Component Analysis NeurIPS 2007 Cluster Stability for Finite Samples NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Colored Maximum Variance Unfolding NeurIPS 2007 Consistent Minimization of Clustering Objective Functions NeurIPS 2007 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 Discriminative K-means for Clustering NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007