Sciweavers

6 search results - page 1 / 2
» Feature Scaling for Kernel Fisher Discriminant Analysis Usin...
Sort
View
64
Voted
NECO
2006
97views more  NECO 2006»
14 years 10 months ago
Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cross Validation
Liefeng Bo, Ling Wang, Licheng Jiao
102
Voted
CVPR
2005
IEEE
16 years 26 days ago
Fisher+Kernel Criterion for Discriminant Analysis
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...
Shu Yang, Shuicheng Yan, Dong Xu, Xiaoou Tang, Cha...
110
Voted
TNN
2008
182views more  TNN 2008»
14 years 10 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
IPMI
1999
Springer
15 years 11 months ago
Statistical Shape Analysis Using Fixed Topology Skeletons: Corpus Callosum Study
The goal of this work is to develop an approach to shape representation and classification that will allow us to detect and quantify differences in shape of anatomical structures d...
Polina Golland, W. Eric L. Grimson, Ron Kikinis
PAMI
2006
132views more  PAMI 2006»
14 years 10 months ago
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
Chengjun Liu