186 search results - page 19 / 38 » Sparse Kernel Regressors |
103
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NIPS
2003
15 years 2 months ago
2003
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
105
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CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
119
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CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Image matting is of great importance in both computer vision and graphics applications. Most existing state-of-the-art techniques rely on large sparse matrices such as the matting ...
142
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NIPS
2004
15 years 2 months ago
2004
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...
176
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CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
Restoring a clear image from a single motion-blurred
image due to camera shake has long been a challenging
problem in digital imaging. Existing blind deblurring techniques
eithe...