sparse representation

A mechanistic model of early sensory processing based on subtracting sparse representations NeurIPS 2012 Cardinality Restricted Boltzmann Machines NeurIPS 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Fused sparsity and robust estimation for linear models with unknown variance NeurIPS 2012 Hierarchical spike coding of sound NeurIPS 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Online L1-Dictionary Learning with Application to Novel Document Detection NeurIPS 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing JMLR 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Value Pursuit Iteration NeurIPS 2012 Deep Sparse Rectifier Neural Networks AISTATS 2011 Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NeurIPS 2011 Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NeurIPS 2011 Structured sparse coding via lateral inhibition NeurIPS 2011 The Sample Complexity of Dictionary Learning COLT 2011 The Sample Complexity of Dictionary Learning JMLR 2011 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Large Scale Online Learning of Image Similarity Through Ranking JMLR 2010 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NeurIPS 2009 Group Sparse Coding NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NeurIPS 2008 Learning Transformational Invariants from Natural Movies NeurIPS 2008