208 search results - page 15 / 42 » Robust Kernel Principal Component Analysis |
SYNASC
2007
IEEE
14 years 1 months ago
2007
IEEE
In recent years several models have been proposed for text categorization. Within this, one of the widely applied models is the vector space model (VSM), where independence betwee...
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...
BMCBI
2008
13 years 7 months ago
2008
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
Principal Component Analysis (PCA) is a well-established technique in image processing and pattern recognition. Incremental PCA and robust PCA are two interesting problems with nu...