110 search results - page 7 / 22 » Optimal kernel selection in Kernel Fisher discriminant analy... |
TNN
2010
13 years 2 months ago
2010
Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
ICDM
2003
IEEE
14 years 25 days ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
ICDAR
2007
IEEE
14 years 1 months ago
2007
IEEE
Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
NIPS
2007
13 years 9 months ago
2007
We study a pattern classification algorithm which has recently been proposed by Vapnik and coworkers. It builds on a new inductive principle which assumes that in addition to pos...