9 search results - page 1 / 2 » Optimally Rotation-Equivariant Directional Derivative Kernel... |
CAIP
1997
Springer
13 years 9 months ago
1997
Springer
Abstract. We describe a framework for the design of directional derivative kernels for two-dimensional discrete signals in which we optimize a measure of rotation-equivariance in t...
CVPR
2005
IEEE
14 years 6 months 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...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We simultaneously approach two tasks of nonlinear discriminant analysis and kernel selection problem by proposing a unified criterion, Fisher+Kernel Criterion. In addition, an eff...
BMCBI
2006
13 years 4 months ago
2006
Background: Detecting remote homologies by direct comparison of protein sequences remains a challenging task. We had previously developed a similarity score between sequences, cal...
JMLR
2008
13 years 4 months ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...