kernel methods

Characterizing the Representer Theorem ICML 2013 Clustered Support Vector Machines AISTATS 2013 Cross-View Action Recognition via a Continuous Virtual Path CVPR 2013 Differentially Private Learning with Kernels ICML 2013 Domain Generalization via Invariant Feature Representation ICML 2013 Fastfood - Computing Hilbert Space Expansions in loglinear time ICML 2013 Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013 Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013 Kernelized Bayesian Matrix Factorization ICML 2013 Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices CVPR 2013 Kernel Null Space Methods for Novelty Detection CVPR 2013 Latent Space Sparse Subspace Clustering ICCV 2013 Learning Kernels Using Local Rademacher Complexity NeurIPS 2013 Learning Optimally Sparse Support Vector Machines ICML 2013 Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NeurIPS 2013 Least Informative Dimensions NeurIPS 2013 Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013 Log-Euclidean Kernels for Sparse Representation and Dictionary Learning ICCV 2013 Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013 Multilabel Classification through Random Graph Ensembles ACML 2013 On Compact Codes for Spatially Pooled Features ICML 2013 On One-Shot Similarity Kernels: Explicit Feature Maps and Properties ICCV 2013 q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013