quadratic programming

Learning Convex QP Relaxations for Structured Prediction ICML 2013 Multi-agent Event Detection: Localization and Role Assignment CVPR 2013 Structured Learning of Sum-of-Submodular Higher Order Energy Functions ICCV 2013 Real-time prioritized kinematic control under inequality constraints for redundant manipulators RSS 2011 A Novel Kernel for Learning a Neuron Model from Spike Train Data NeurIPS 2010 Learning To Count Objects in Images NeurIPS 2010 Quadratic Programming Feature Selection JMLR 2010 An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs JMLR 2009 An Integer Projected Fixed Point Method for Graph Matching and MAP Inference NeurIPS 2009 Performance analysis for L\_2 kernel classification NeurIPS 2008 Support Vector Machines with a Reject Option NeurIPS 2008 An Analysis of Convex Relaxations for MAP Estimation NeurIPS 2007 Learning Monotonic Transformations for Classification NeurIPS 2007 An Efficient Implementation of an Active Set Method for SVMs JMLR 2006 Maximum-Gain Working Set Selection for SVMs JMLR 2006 Nonparametric Quantile Estimation JMLR 2006 Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006 QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006 The Interplay of Optimization and Machine Learning Research JMLR 2006 Multiclass Classification with Multi-Prototype Support Vector Machines JMLR 2005 Efficient SVM Training Using Low-Rank Kernel Representations JMLR 2001 Lagrangian Support Vector Machines JMLR 2001 On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001