17 search results - page 1 / 4 » Non-linear feature extraction by linear PCA using local kern... |
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents how to extract non-linear features by linear PCA. KPCA is effective but the computational cost is the drawback. To realize both non-linearity and low computati...
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
In this work, two new techniques for non-linear feature extraction are presented. In these techniques, new features are obtained as radial projections of the original measurements...
ASC
2000
13 years 6 months ago
2000
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local inst...
TSMC
2008
13 years 3 months ago
2008
Abstract-- Using the kernel trick idea and the kernels as features idea, we can construct two kinds of nonlinear feature spaces, where linear feature extraction algorithms can be e...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...