95 search results - page 3 / 19 » Relative Gradient Learning for Independent Subspace Analysis |
ICA
2012
Springer
12 years 1 months ago
2012
Springer
We consider an extension of ICA and BSS for separating mutually dependent and independent components from two related data sets. We propose a new method which first uses canonical...
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...
ISCAS
2005
IEEE
13 years 12 months ago
2005
IEEE
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
IJCAI
2001
13 years 7 months ago
2001
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...