68 search results - page 8 / 14 » The Use of Bayesian Framework for Kernel Selection in Vector... |
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
PAMI
2010
13 years 6 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...