58 search results - page 7 / 12 » A Subspace Kernel for Nonlinear Feature Extraction |
NECO
1998
13 years 6 months ago
1998
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
IJON
2006
13 years 6 months ago
2006
In this paper we present denoising algorithms for enhancing noisy signals based on Local ICA (LICA), Delayed AMUSE (dAMUSE) and Kernel PCA (KPCA). The algorithm LICA relies on app...
195
click to vote
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
AMFG
2007
IEEE
14 years 1 months ago
2007
IEEE
Extending recognition to uncontrolled situations is a key challenge for practical face recognition systems. Finding efficient and discriminative facial appearance descriptors is c...