89 search results - page 4 / 18 » Fast Independent Component Analysis in Kernel Feature Spaces |
ICANN
2007
Springer
14 years 12 days ago
2007
Springer
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
In this paper, we propose a new vector quantization method to create video thumbnail. In particular, we employ video time density function (VTDF) to explore the temporal character...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
We propose a cord distance in the space of dynamical models that takes into account their dynamics, including transients, output maps and input distributions. In data analysis app...
ICML
2003
IEEE
14 years 7 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...
NECO
1998
13 years 5 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...