support vector machine

Seeking the Strongest Rigid Detector CVPR 2013 Space-Time Robust Representation for Action Recognition ICCV 2013 Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization JMLR 2013 The Most Generative Maximum Margin Bayesian Networks ICML 2013 The SVM-Minus Similarity Score for Video Face Recognition CVPR 2013 Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NeurIPS 2013 Universal Consistency of Localized Versions of Regularized Kernel Methods JMLR 2013 A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems COLT 2012 Active Learning with Hinted Support Vector Machine ACML 2012 AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012 A metric learning perspective of SVM: on the relation of LMNN and SVM AISTATS 2012 Approximating Concavely Parameterized Optimization Problems NeurIPS 2012 A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012 Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NeurIPS 2012 Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012 Coherence Functions with Applications in Large-Margin Classification Methods JMLR 2012 Dimensionality Dependent PAC-Bayes Margin Bound NeurIPS 2012 Discriminatively Trained Sparse Code Gradients for Contour Detection NeurIPS 2012 Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices JMLR 2012 Kernel Latent SVM for Visual Recognition NeurIPS 2012 Learning from Distributions via Support Measure Machines NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Maximum Margin Temporal Clustering AISTATS 2012 Max-Margin Min-Entropy Models AISTATS 2012 Multiclass Learning Approaches: A Theoretical Comparison with Implications NeurIPS 2012