325 search results - page 20 / 65 » Statistical Properties of Kernel Principal Component Analysi... |
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
ACCV
2007
Springer
14 years 2 months ago
2007
Springer
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
ICIP
2000
IEEE
14 years 10 months ago
2000
IEEE
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
PAMI
2002
13 years 8 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— Recent work has revealed a close connection between certain information theoretic divergence measures and properties of Mercer kernel feature spaces. Specifically, it has been...