Support Vector Machine

Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014 The Coherent Loss Function for Classification ICML 2014 Block-Coordinate Frank-Wolfe Optimization for Structural SVMs ICML 2013 BudgetedSVM: A Toolbox for Scalable SVM Approximations JMLR 2013 Contextual Hypergraph Modeling for Salient Object Detection ICCV 2013 Convex formulations of radius-margin based Support Vector Machines ICML 2013 DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes AISTATS 2013 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 Group Norm for Learning Structured SVMs with Unstructured Latent Variables ICCV 2013 Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013 Learning and Calibrating Per-Location Classifiers for Visual Place Recognition CVPR 2013 Learning Optimally Sparse Support Vector Machines ICML 2013 Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013 Online Kernel Learning with a Near Optimal Sparsity Bound ICML 2013 Poselet Key-Framing: A Model for Human Activity Recognition CVPR 2013 q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013 Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013 Space-Time Robust Representation for Action Recognition ICCV 2013 Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NeurIPS 2013 A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems COLT 2012 Active Learning with Hinted Support Vector Machine ACML 2012 Approximating Concavely Parameterized Optimization Problems NeurIPS 2012 A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012