support vector machine

Fast Template Evaluation with Vector Quantization NeurIPS 2013 From N to N+1: Multiclass Transfer Incremental Learning CVPR 2013 From Point to Set: Extend the Learning of Distance Metrics ICCV 2013 Handling Uncertain Tags in Visual Recognition ICCV 2013 Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013 JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013 Kernel Learning for Extrinsic Classification of Manifold Features CVPR 2013 Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices CVPR 2013 Learning and Calibrating Per-Location Classifiers for Visual Place Recognition CVPR 2013 Learning by Associating Ambiguously Labeled Images CVPR 2013 Learning Maximum Margin Temporal Warping for Action Recognition ICCV 2013 Learning Optimally Sparse Support Vector Machines ICML 2013 Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013 Lovasz theta function, SVMs and Finding Dense Subgraphs JMLR 2013 Max-Margin Multiple-Instance Dictionary Learning ICML 2013 Mini-Batch Primal and Dual Methods for SVMs ICML 2013 Multicategory Large-Margin Unified Machines JMLR 2013 Multiclass Latent Locally Linear Support Vector Machines ACML 2013 On One-Shot Similarity Kernels: Explicit Feature Maps and Properties ICCV 2013 Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013 Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification ACML 2013 Probabilistic Elastic Matching for Pose Variant Face Verification CVPR 2013 \proptoSVM for Learning with Label Proportions ICML 2013 Random Projections for Support Vector Machines AISTATS 2013 Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013