Support Vector Machine

Learning Kernels with Radiuses of Minimum Enclosing Balls NeurIPS 2010 Lower Bounds on Rate of Convergence of Cutting Plane Methods NeurIPS 2010 Multiple Kernel Learning and the SMO Algorithm NeurIPS 2010 Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NeurIPS 2010 Spatial and anatomical regularization of SVM for brain image analysis NeurIPS 2010 Spectral Regularization for Support Estimation NeurIPS 2010 Universal Consistency of Multi-Class Support Vector Classification NeurIPS 2010 Adaptive Regularization for Transductive Support Vector Machine NeurIPS 2009 Analysis of SVM with Indefinite Kernels NeurIPS 2009 Bilinear classifiers for visual recognition NeurIPS 2009 DUOL: A Double Updating Approach for Online Learning NeurIPS 2009 Fast Learning from Non-i.i.d. Observations NeurIPS 2009 Kernel Methods for Deep Learning NeurIPS 2009 Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering NeurIPS 2009 Multiple Incremental Decremental Learning of Support Vector Machines NeurIPS 2009 Speaker Comparison with Inner Product Discriminant Functions NeurIPS 2009 A Massively Parallel Digital Learning Processor NeurIPS 2008 Extended Grassmann Kernels for Subspace-Based Learning NeurIPS 2008 Fast Rates for Regularized Objectives NeurIPS 2008 Max-margin Classification of Data with Absent Features JMLR 2008 On the Suitable Domain for SVM Training in Image Coding JMLR 2008 Performance analysis for L\_2 kernel classification NeurIPS 2008 Relative Margin Machines NeurIPS 2008 Sparsity of SVMs that use the epsilon-insensitive loss NeurIPS 2008 Support Vector Machines with a Reject Option NeurIPS 2008