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ESANN
2003
13 years 9 months ago
Kernel PLS variants for regression
Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewall...
ICML
2003
IEEE
14 years 8 months ago
The Pre-Image Problem in Kernel Methods
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...
James T. Kwok, Ivor W. Tsang
PAMI
2007
131views more  PAMI 2007»
13 years 7 months ago
The Gray-Code Filter Kernels
—In this paper, we introduce a family of filter kernels—the Gray-Code Kernels (GCK) and demonstrate their use in image analysis. Filtering an image with a sequence of Gray-Code...
Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or
ICPR
2006
IEEE
14 years 8 months ago
Object Predetection Based on Kernel Parametric Distribution Fitting
Multimodal distribution fitting is an important task in pattern recognition. For instance, the predetection which is the preliminary stage that limits image areas to be processed i...
Jean-Philippe Tarel, Sabri Boughorbel