439 search results - page 17 / 88 » Weighted decomposition kernels |
IJCAI
2003
13 years 9 months ago
2003
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
We describe a framework for quantifying color image distortion based on an adaptive signal decomposition. Specifically, local blocks of the image error are decomposed using a set ...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
JMLR
2006
13 years 7 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...