Feature Learning

Portmanteau Vocabularies for Multi-Cue Image Representation NeurIPS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 ShareBoost: Efficient multiclass learning with feature sharing NeurIPS 2011 Sparse Filtering NeurIPS 2011 Sparse Manifold Clustering and Embedding NeurIPS 2011 Structured sparse coding via lateral inhibition NeurIPS 2011 Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NeurIPS 2011 The Kernel Beta Process NeurIPS 2011 A Dirty Model for Multi-task Learning NeurIPS 2010 Deep Coding Network NeurIPS 2010 Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NeurIPS 2010 Energy Disaggregation via Discriminative Sparse Coding NeurIPS 2010 Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010 Feature Selection using Multiple Streams AISTATS 2010 Feature Set Embedding for Incomplete Data NeurIPS 2010 Gated Softmax Classification NeurIPS 2010 Kernel Descriptors for Visual Recognition NeurIPS 2010 Learning Efficient Markov Networks NeurIPS 2010 Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010 Learning Multiple Tasks using Manifold Regularization NeurIPS 2010 Moreau-Yosida Regularization for Grouped Tree Structure Learning NeurIPS 2010 Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NeurIPS 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 (RF)^2 -- Random Forest Random Field NeurIPS 2010 Sparse Coding for Learning Interpretable Spatio-Temporal Primitives NeurIPS 2010