1875 search results - page 2 / 375 » Kernel Methods for Pattern Analysis |
NIPS
2004
13 years 6 months ago
2004
This paper investigates the effect of Kernel Principal Component Analysis (KPCA) within the classification framework, essentially the regularization properties of this dimensional...
TNN
2010
13 years 1 days ago
2010
Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
ICDAR
2007
IEEE
13 years 11 months ago
2007
IEEE
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper presents a novel approach for multimodal information fusion. The proposed method is based on kernel cross-modal factor analysis (KCFA), in which the optimal transformat...