187 search results - page 16 / 38 » Nonlinear Component Analysis as a Kernel Eigenvalue Problem |
ICIP
2002
IEEE
16 years 1 months ago
2002
IEEE
We present a hybrid and parallel system based on artificial neural networks for a face invariant classifier and general pattern recognition problems. A set of face features is ext...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— We consider the application of kernel canonical correlation analysis (K-CCA) to the supervised equalization of Wiener systems. Although a considerable amount of research has be...
ECAI
2010
Springer
15 years 22 days ago
2010
Springer
In classical revealed preference analysis we are given a sequence of linear prices (i.e., additive over goods) and an agent's demand at each of the prices. The problem is to d...
JMLR
2010
14 years 6 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
ECCV
2000
Springer
16 years 1 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...