58 search results - page 5 / 12 » A Subspace Kernel for Nonlinear Feature Extraction |
104
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CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
CEC
2005
IEEE
15 years 1 months ago
2005
IEEE
Abstract— Nonlinear mapping is an approach of multidimensional scaling where a high-dimensional space is transformed into a lower-dimensional space such that the topological char...
CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
ICANN
1997
Springer
15 years 3 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
114
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ICMCS
2005
IEEE
15 years 5 months ago
2005
IEEE
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...