DocumentCode
3442186
Title
Structural pattern compression and recognition by linear CNN
Author
Cheng, Gui-Xin ; Tanaka, Mamoru
Author_Institution
Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
Volume
6
fYear
1994
fDate
30 May-2 Jun 1994
Firstpage
411
Abstract
In this paper, a multi-layer pattern structural compression method, a method memorizing this pattern in a multi-layer weighted resister network and a method associating the memorized pattern are proposed. Simulation results show the efficiency of these methods
Keywords
cellular neural nets; data compression; pattern recognition; association; linear CNN; multi-layer weighted resister network; pattern memorization; simulation; structural pattern compression; structural pattern recognition; Cellular neural networks; Current distribution; Decoding; Filters; Image coding; Image reconstruction; Neural networks; Pattern recognition; Resistors; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location
London
Print_ISBN
0-7803-1915-X
Type
conf
DOI
10.1109/ISCAS.1994.409613
Filename
409613
Link To Document