support vector machine

On Robustness and Regularization of Structural Support Vector Machines ICML 2014 Optimizing Average Precision using Weakly Supervised Data CVPR 2014 Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014 Outlier Path: A Homotopy Algorithm for Robust SVM ICML 2014 Ramp Loss Linear Programming Support Vector Machine JMLR 2014 Recognizing RGB Images by Learning from RGB-D Data CVPR 2014 Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014 Robust Online Gesture Recognition with Crowdsourced Annotations JMLR 2014 Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014 Support vector machines with indefinite kernels ACML 2014 The Coherent Loss Function for Classification ICML 2014 Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking ACML 2013 A Framework for Shape Analysis via Hilbert Space Embedding ICCV 2013 Anytime Representation Learning ICML 2013 A Structural SVM Based Approach for Optimizing Partial AUC ICML 2013 BudgetedSVM: A Toolbox for Scalable SVM Approximations JMLR 2013 Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification ICCV 2013 Clustered Support Vector Machines AISTATS 2013 Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009) JMLR 2013 Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach ICCV 2013 Contextual Hypergraph Modeling for Salient Object Detection ICCV 2013 Convex formulations of radius-margin based Support Vector Machines ICML 2013 Directed Acyclic Graph Kernels for Action Recognition ICCV 2013 Efficient Large-Scale Structured Learning CVPR 2013 Ellipsoidal Multiple Instance Learning ICML 2013