Feature Learning

Structured sparsity-inducing norms through submodular functions NeurIPS 2010 The Maximal Causes of Natural Scenes are Edge Filters NeurIPS 2010 An Additive Latent Feature Model for Transparent Object Recognition NeurIPS 2009 Free energy score space NeurIPS 2009 Lattice Regression NeurIPS 2009 Nonlinear Learning using Local Coordinate Coding NeurIPS 2009 Optimal Scoring for Unsupervised Learning NeurIPS 2009 Polynomial Semantic Indexing NeurIPS 2009 Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009 Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing NeurIPS 2009 Artificial Olfactory Brain for Mixture Identification NeurIPS 2008 Cyclizing Clusters via Zeta Function of a Graph NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Differentiable Sparse Coding NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data NeurIPS 2008 ICA based on a Smooth Estimation of the Differential Entropy NeurIPS 2008 Nonparametric regression and classification with joint sparsity constraints NeurIPS 2008 Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NeurIPS 2008 Regularized Co-Clustering with Dual Supervision NeurIPS 2008 Regularized Learning with Networks of Features NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008 Spectral Hashing NeurIPS 2008 Spike Feature Extraction Using Informative Samples NeurIPS 2008 Supervised Dictionary Learning NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008