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Kernel Methods

571 directly classified papers

Papers per year

Papers

Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction ICML 2015
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NIPS 2015
Per-Sample Kernel Adaptation for Visual Recognition and Grouping ICCV 2015
On the Complexity of Learning with Kernels COLT 2015
Geodesic Exponential Kernels: When Curvature and Linearity Conflict CVPR 2015
A Stable Multi-Scale Kernel for Topological Machine Learning CVPR 2015
Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification CVPR 2015
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation CVPR 2015
Optimal Rates for Random Fourier Features NIPS 2015
Efficient Output Kernel Learning for Multiple Tasks NIPS 2015
Human Action Recognition Based on Context-Dependent Graph Kernels CVPR 2014
To go deep or wide in learning? AISTATS 2014
Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014
Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014
Spectral Clustering with Jensen-type Kernels and their Multi-point Extensions CVPR 2014
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters CVPR 2014
Video Motion Segmentation Using New Adaptive Manifold Denoising Model CVPR 2014
Kernel Mean Estimation and Stein Effect ICML 2014
Margins, Kernels and Non-linear Smoothed Perceptrons ICML 2014
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014
Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014
A Divide-and-Conquer Solver for Kernel Support Vector Machines ICML 2014
Memory Efficient Kernel Approximation ICML 2014
Compact Random Feature Maps ICML 2014
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014