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» Localized Multiple Kernel Regression
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IJCNN
2008
IEEE
14 years 25 days ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris
NIPS
2004
13 years 7 months ago
Computing regularization paths for learning multiple kernels
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
Francis R. Bach, Romain Thibaux, Michael I. Jordan
ECCV
2010
Springer
13 years 11 months ago
Non-Local Kernel Regression for Image and Video Restoration
This paper presents a non-local kernel regression (NL-KR) method for image and video restoration tasks, which exploits both the non-local self-similarity and local structural regul...
ICIP
2008
IEEE
14 years 8 months ago
Using local regression kernels for statistical object detection
We present a novel approach to the problem of detection of visual similarity between a template image, and patches in a given image. The method is based on the computation of a lo...
Hae Jong Seo, Peyman Milanfar