9 search results - page 1 / 2 » Optimally Rotation-Equivariant Directional Derivative Kernel... |
62
Voted
CAIP
1997
Springer
15 years 1 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...
100
Voted
CVPR
2005
IEEE
15 years 11 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
15 years 11 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
14 years 9 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...
81
Voted
JMLR
2008
14 years 9 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...