1553 search results - page 79 / 311 » Talking Faces - Technologies and Applications |
168
click to vote
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
144
click to vote
AVBPA
2001
Springer
15 years 10 months ago
2001
Springer
In several pattern recognition problems, particularly in image recognition ones, there are often a large number of features available, but the number of training samples for each p...
163
Voted
FGR
2004
IEEE
15 years 9 months ago
2004
IEEE
The null space-based LDA takes full advantage of the null space while the other methods remove the null space. It proves to be optimal in performance. From the theoretical analysi...
162
click to vote
FGR
2006
IEEE
15 years 9 months ago
2006
IEEE
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
178
click to vote
JCP
2008
15 years 5 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...