12 search results - page 2 / 3 » Independent Slow Feature Analysis and Nonlinear Blind Source... |
DSP
2007
13 years 4 months ago
2007
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
ICCV
1999
IEEE
14 years 6 months ago
1999
IEEE
The technique of independent component analysis (ICA) is applied for texture feature detection. In ICA an optimal transformation (with respect to the statistical structure of the i...
TASLP
2010
12 years 11 months ago
2010
Abstract--Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that significantly reduces the occurrence of the well-known permutation problem in...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...