DocumentCode :
2004360
Title :
Iterative optimization of convex divergence: applications to independent component analysis
Author :
Matsuyama, Yasuo
Author_Institution :
Waseda University
fYear :
2003
fDate :
29 June-4 July 2003
Firstpage :
214
Lastpage :
214
Keywords :
Application software; Brain modeling; Computational modeling; Computer science; Equations; Independent component analysis; Information theory; Iterative algorithms; Magnetic resonance imaging; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2003. Proceedings. IEEE International Symposium on
Print_ISBN :
0-7803-7728-1
Type :
conf
DOI :
10.1109/ISIT.2003.1228228
Filename :
1228228
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=2004360
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