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Kernel Methods

642 papers

Papers per year

9
23
20
31
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Papers

Kernel Mean Estimation via Spectral Filtering NIPS 2014
Convex Deep Learning via Normalized Kernels NIPS 2014
Latent Support Measure Machines for Bag-of-Words Data Classification NIPS 2014
Quantized Kernel Learning for Feature Matching NIPS 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NIPS 2014
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NIPS 2014
Convolutional Kernel Networks NIPS 2014
Subspace Embeddings for the Polynomial Kernel NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Learning with Fredholm Kernels NIPS 2014
Fast Prediction for Large-Scale Kernel Machines NIPS 2014
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NIPS 2014
To go deep or wide in learning? AISTATS 2014
The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014
Video Motion Segmentation Using New Adaptive Manifold Denoising Model CVPR 2014
Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction CVPR 2014
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters CVPR 2014
Spectral Clustering with Jensen-type Kernels and their Multi-point Extensions CVPR 2014
Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014
Human Action Recognition Based on Context-Dependent Graph Kernels CVPR 2014
Optimizing Over Radial Kernels on Compact Manifolds 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