55 search results - page 4 / 11 » Nonlinear independent component analysis with minimal nonlin... |
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
ICCV
1999
IEEE
13 years 10 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
ICA
2007
Springer
14 years 6 days ago
2007
Springer
We consider Independent Component Analysis (ICA) for the case of binary sources, where addition has the meaning of the boolean “Exclusive Or” (XOR) operation. Thus, each mixtur...
ICANN
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...
NIPS
2004
13 years 7 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...