Feature Learning

The Mondrian Process NeurIPS 2008 Theory of matching pursuit NeurIPS 2008 Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing NeurIPS 2008 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 A Unified Near-Optimal Estimator For Dimension Reduction in l_α (0<α≤ 2) Using Stable Random Projections NeurIPS 2007 Colored Maximum Variance Unfolding NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Discriminative K-means for Clustering NeurIPS 2007 Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization JMLR 2007 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NeurIPS 2007 Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NeurIPS 2007 Learning Monotonic Transformations for Classification NeurIPS 2007 Learning the structure of manifolds using random projections NeurIPS 2007 On Sparsity and Overcompleteness in Image Models NeurIPS 2007 Random Projections for Manifold Learning NeurIPS 2007 Receptive Fields without Spike-Triggering NeurIPS 2007 Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NeurIPS 2007 A Local Learning Approach for Clustering NeurIPS 2006 A Nonparametric Approach to Bottom-Up Visual Saliency NeurIPS 2006 A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NeurIPS 2006 Denoising and Dimension Reduction in Feature Space NeurIPS 2006 Efficient Learning of Sparse Representations with an Energy-Based Model NeurIPS 2006 Efficient sparse coding algorithms NeurIPS 2006 Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NeurIPS 2006 Information Bottleneck for Non Co-Occurrence Data NeurIPS 2006