Representation Learning

Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NeurIPS 2008 Non-stationary dynamic Bayesian networks NeurIPS 2008 On Relevant Dimensions in Kernel Feature Spaces JMLR 2008 On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NeurIPS 2008 On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008 Optimal Solutions for Sparse Principal Component Analysis JMLR 2008 Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension JMLR 2008 Reducing statistical dependencies in natural signals using radial Gaussianization NeurIPS 2008 Regularized Learning with Networks of Features NeurIPS 2008 Resolution Limits of Sparse Coding in High Dimensions NeurIPS 2008 Robust Kernel Principal Component Analysis NeurIPS 2008 Robust Near-Isometric Matching via Structured Learning of Graphical Models NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008 Shape-Based Object Localization for Descriptive Classification NeurIPS 2008 Simple Local Models for Complex Dynamical Systems NeurIPS 2008 Skill Characterization Based on Betweenness NeurIPS 2008 Sparse probabilistic projections NeurIPS 2008 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008 Spectral Hashing NeurIPS 2008 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008 Supervised Dictionary Learning NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008