990 search results - page 49 / 198 » Learning with non-positive kernels |
104
click to vote
JMLR
2006
14 years 9 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
111
click to vote
GFKL
2007
Springer
15 years 1 months ago
2007
Springer
Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
CORR
2010
Springer
14 years 7 months ago
2010
Springer
In many applications involving multi-media data, the definition of similarity between items is integral to several key tasks, including nearest-neighbor retrieval, classification,...
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
We propose a motion deblurring algorithm that exploits sparsity constraints of image patches using one single frame. In our formulation, each image patch is encoded with sparse co...