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Feature Learning

817 directly classified papers

Papers per year

Papers

Learning Locally-Adaptive Decision Functions for Person Verification CVPR 2013
Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013
Learning Separable Filters CVPR 2013
Correlation Filters for Object Alignment CVPR 2013
Representing Videos Using Mid-level Discriminative Patches CVPR 2013
Learning a set of directions COLT 2013
Blind Signal Separation in the Presence of Gaussian Noise COLT 2013
Contrastive Learning Using Spectral Methods NIPS 2013
Compressive Feature Learning NIPS 2013
Learning invariant representations and applications to face verification NIPS 2013
Domain Generalization via Invariant Feature Representation ICML 2013
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification ICML 2013
Vanishing Component Analysis ICML 2013
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013
MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013
Robust and Discriminative Self-Taught Learning ICML 2013
Max-Margin Multiple-Instance Dictionary Learning ICML 2013
Co-Regularized Hashing for Multimodal Data NIPS 2012
Entropy Estimations Using Correlated Symmetric Stable Random Projections NIPS 2012
Locally Uniform Comparison Image Descriptor NIPS 2012
Priors for Diversity in Generative Latent Variable Models NIPS 2012
Graphical Gaussian Vector for Image Categorization NIPS 2012
Locality Preserving Feature Learning AISTATS 2012
Exact Recovery of Sparsely-Used Dictionaries COLT 2012
Searching for objects driven by context NIPS 2012