Feature Learning

Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NeurIPS 2013 Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013 Feature Weighting via Optimal Thresholding for Video Analysis ICCV 2013 Graph-Based Discriminative Learning for Location Recognition CVPR 2013 Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013 Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps ICCV 2013 Heterogeneous Visual Features Fusion via Sparse Multimodal Machine CVPR 2013 Histograms of Sparse Codes for Object Detection CVPR 2013 HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences CVPR 2013 Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions CVPR 2013 Initialization-Insensitive Visual Tracking through Voting with Salient Local Features ICCV 2013 Latent Maximum Margin Clustering NeurIPS 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013 Learning a set of directions COLT 2013 Learning Discriminative Part Detectors for Image Classification and Cosegmentation ICCV 2013 Learning invariant representations and applications to face verification NeurIPS 2013 Learning Locally-Adaptive Decision Functions for Person Verification CVPR 2013 Learning Separable Filters CVPR 2013 Learning View-Invariant Sparse Representations for Cross-View Action Recognition ICCV 2013 Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NeurIPS 2013 Least Informative Dimensions NeurIPS 2013 Low-Rank Sparse Coding for Image Classification ICCV 2013 Max-Margin Multiple-Instance Dictionary Learning ICML 2013 MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013