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Kernel Methods

571 directly classified papers

Papers per year

Papers

Learning Kernels Using Local Rademacher Complexity NIPS 2013
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NIPS 2013
Scalable kernels for graphs with continuous attributes NIPS 2013
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NIPS 2013
Correlated random features for fast semi-supervised learning NIPS 2013
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NIPS 2013
Robust Low Rank Kernel Embeddings of Multivariate Distributions NIPS 2013
Adaptivity to Local Smoothness and Dimension in Kernel Regression NIPS 2013
A Kernel Test for Three-Variable Interactions NIPS 2013
Anchored Neighborhood Regression for Fast Example-Based Super-Resolution ICCV 2013
Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach ICCV 2013
On One-Shot Similarity Kernels: Explicit Feature Maps and Properties ICCV 2013
Directed Acyclic Graph Kernels for Action Recognition ICCV 2013
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
Vanishing Component Analysis ICML 2013
A unifying framework for vector-valued manifold regularization and multi-view learning ICML 2013
Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment ICML 2013
Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013
Fastfood - Computing Hilbert Space Expansions in loglinear time ICML 2013
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels ICML 2013
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013
Online Kernel Learning with a Near Optimal Sparsity Bound ICML 2013
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning ICML 2013
Supervised Kernel Descriptors for Visual Recognition CVPR 2013