← Core Methods
Machine Learning › Core Methods ›

Representation Learning

18863 directly classified papers

Papers per year

Papers

Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013
Detecting Activations over Graphs using Spanning Tree Wavelet Bases AISTATS 2013
Nyström Approximation for Large-Scale Determinantal Processes AISTATS 2013
Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination CVPR 2013
Max-Margin Multiple-Instance Dictionary Learning ICML 2013
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning ICML 2013
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling ICCV 2013
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling JMLR 2013
On the Convergence of Maximum Variance Unfolding JMLR 2013
Tapkee: An Efficient Dimension Reduction Library JMLR 2013
A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013
Parallel Vector Field Embedding JMLR 2013
Capturing Global Semantic Relationships for Facial Action Unit Recognition ICCV 2013
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013
Mining Multiple Queries for Image Retrieval: On-the-Fly Learning of an Object-Specific Mid-level Representation ICCV 2013
Representing Videos Using Mid-level Discriminative Patches CVPR 2013
A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013
Discriminative Color Descriptors CVPR 2013
Toward Guaranteed Illumination Models for Non-convex Objects ICCV 2013
Attribute Dominance: What Pops Out? ICCV 2013
SYM-FISH: A Symmetry-Aware Flip Invariant Sketch Histogram Shape Descriptor ICCV 2013
Affine-Constrained Group Sparse Coding and Its Application to Image-Based Classifications ICCV 2013
Towards Motion Aware Light Field Video for Dynamic Scenes ICCV 2013
Relative Hidden Markov Models for Evaluating Motion Skill CVPR 2013