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Feature Learning

817 directly classified papers

Papers per year

Papers

A Dirty Model for Multi-task Learning NIPS 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Energy Disaggregation via Discriminative Sparse Coding NIPS 2010
Deep Coding Network NIPS 2010
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives NIPS 2010
Kernel Descriptors for Visual Recognition NIPS 2010
Structured sparsity-inducing norms through submodular functions NIPS 2010
Moreau-Yosida Regularization for Grouped Tree Structure Learning NIPS 2010
Lattice Regression NIPS 2009
Nonlinear Learning using Local Coordinate Coding NIPS 2009
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing NIPS 2009
An Additive Latent Feature Model for Transparent Object Recognition NIPS 2009
Free energy score space NIPS 2009
Polynomial Semantic Indexing NIPS 2009
ICA based on a Smooth Estimation of the Differential Entropy NIPS 2008
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NIPS 2008
Regularized Learning with Networks of Features NIPS 2008
Differentiable Sparse Coding NIPS 2008
Spike Feature Extraction Using Informative Samples NIPS 2008
Cyclizing Clusters via Zeta Function of a Graph NIPS 2008
Supervised Dictionary Learning NIPS 2008
The Mondrian Process NIPS 2008
Scalable Algorithms for String Kernels with Inexact Matching NIPS 2008