44 search results - page 1 / 9 » On numerical optimization theory of infinite kernel learning |
JGO
2010
13 years 9 months ago
2010
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
CVPR
2008
IEEE
15 years 29 days ago
2008
IEEE
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
CVPR
2005
IEEE
15 years 29 days ago
2005
IEEE
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...