394 search results - page 5 / 79 » On Feature Extraction via Kernels |
TNN
2011
13 years 5 months ago
2011
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
EMMCVPR
2009
Springer
14 years 4 months ago
2009
Springer
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
IDEAL
2005
Springer
14 years 3 months ago
2005
Springer
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
IDEAL
2009
Springer
14 years 4 months ago
2009
Springer
We propose a novel, supervised feature extraction procedure, based on an unbiased estimator of the Hilbert-Schmidt independence criterion (HSIC). The proposed procedure can be dire...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...