kernel learning

Structural Kernel Learning for Large Scale Multiclass Object Co-Detection ICCV 2015 The Human Kernel NeurIPS 2015 Expectation-Maximization for Learning Determinantal Point Processes NeurIPS 2014 Fast Kernel Learning for Multidimensional Pattern Extrapolation NeurIPS 2014 Learning the Parameters of Determinantal Point Process Kernels ICML 2014 Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014 Quantized Kernel Learning for Feature Matching NeurIPS 2014 Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction CVPR 2014 Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels ICML 2013 Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013 Kernel Learning for Extrinsic Classification of Manifold Features CVPR 2013 Learning Kernels Using Local Rademacher Complexity NeurIPS 2013 Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013 Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012 Metric and Kernel Learning Using a Linear Transformation JMLR 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 The Lovász ϑ function, SVMs and finding large dense subgraphs NeurIPS 2012 Additive Gaussian Processes NeurIPS 2011 Learning to Locate Relative Outliers ACML 2011 A Novel Kernel for Learning a Neuron Model from Spike Train Data NeurIPS 2010 Inductive Regularized Learning of Kernel Functions NeurIPS 2010 Learning Kernels with Radiuses of Minimum Enclosing Balls NeurIPS 2010 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009