773 search results - page 28 / 155 » Kernel Change-point Analysis |
132
Voted
NIPS
2004
15 years 5 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
136
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...
114
Voted
ICANN
1997
Springer
15 years 7 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
149
Voted
ICIP
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper uses a recently introduced manifold kernel regression technique to explore the relationship between facial shape and attractiveness on a heterogeneous dataset of over t...
159
Voted
ICB
2007
Springer
15 years 7 months ago
2007
Springer
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...