Subspace independent component analysis using vector kurtosis-Reference-Cited by-同舟云学术

Subspace independent component analysis using vector kurtosis

Published:2006-11 Issue:11 Volume:39 Page:2227-2232
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Sharma Alok,Paliwal Kuldip K.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference6 articles.

1. Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces;Hyvärinen;Neural Comp.,2000

2. J.-F. Cardoso, Multidimensional independent component analysis, Proceedings of the ICASSP, vol. 37, 1998.

3. Independent Component Analysis;Hyvärinen,2001

4. B.L.R. De Moor, P.D. Gersem, B.D. Schutter, W. Favoreel (Eds.), Daisy: Database for the Identification of Systems, 1997, http://www.esat.kuleuven.ac.be/sista/daisy.

5. Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map;Kohonen;Bio. Cyber.,1996

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