multiple kernel learning

Ask the Image: Supervised Pooling to Preserve Feature Locality CVPR 2014 Beta Process Multiple Kernel Learning CVPR 2014 Human Action Recognition Based on Context-Dependent Graph Kernels CVPR 2014 Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NeurIPS 2014 On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014 Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014 Towards Ultrahigh Dimensional Feature Selection for Big Data JMLR 2014 An Adaptive Descriptor Design for Object Recognition in the Wild ICCV 2013 A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013 Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach ICCV 2013 Event Recognition in Videos by Learning from Heterogeneous Web Sources CVPR 2013 JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013 Kernelized Bayesian Matrix Factorization ICML 2013 Kernel Learning for Extrinsic Classification of Manifold Features CVPR 2013 Lovasz theta function, SVMs and Finding Dense Subgraphs JMLR 2013 Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013 Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012 Non-Sparse Multiple Kernel Fisher Discriminant Analysis JMLR 2012 On the Convergence Rate of -Norm Multiple Kernel Learning JMLR 2012 PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012 Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging NeurIPS 2012 Regularization Techniques for Learning with Matrices JMLR 2012 Sparse Additive Machine AISTATS 2012 Structured Sparsity and Generalization JMLR 2012 The Lovász ϑ function, SVMs and finding large dense subgraphs NeurIPS 2012