Classification

Learning Hash Codes with Listwise Supervision ICCV 2013 Learning Kernels Using Local Rademacher Complexity NeurIPS 2013 Learning Maximum Margin Temporal Warping for Action Recognition ICCV 2013 Learning Multiple Models via Regularized Weighting NeurIPS 2013 Learning Optimally Sparse Support Vector Machines ICML 2013 Learning Policies for Contextual Submodular Prediction ICML 2013 Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression ICML 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Learning SURF Cascade for Fast and Accurate Object Detection CVPR 2013 Learning to Detect Partially Overlapping Instances CVPR 2013 Learning with Marginalized Corrupted Features ICML 2013 Learning with Noisy Labels NeurIPS 2013 Linear decision rule as aspiration for simple decision heuristics NeurIPS 2013 Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences ICCV 2013 Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013 Locally-Linear Learning Machines (L3M) ACML 2013 Lovasz theta function, SVMs and Finding Dense Subgraphs JMLR 2013 MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use JMLR 2013 Manifold-based Similarity Adaptation for Label Propagation NeurIPS 2013 Mapping paradigm ontologies to and from the brain NeurIPS 2013 Margins, Shrinkage, and Boosting ICML 2013 Max-Margin Multiple-Instance Dictionary Learning ICML 2013 Maxout Networks ICML 2013 MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013 Mini-Batch Primal and Dual Methods for SVMs ICML 2013