DocumentCode
447397
Title
A Weighted Voting Model of Associative Memory: Experimental Analysis
Author
Mu, Xiaoyan ; Watta, Paul ; Hassoun, Mohamad H.
Author_Institution
Dept. of Electr. & Comput. Eng., Rose-Hulman Inst. of Technol., Terre Haute, IN
Volume
2
fYear
2005
fDate
12-12 Oct. 2005
Firstpage
1252
Lastpage
1257
Abstract
In a related paper (X. Mu et al., 2004), a weighted voting RAM-based associative memory model was proposed, and a theoretical analysis of its performance on binary and random memory sets was given. In this paper, we give an experimental analysis of the weighted voting memory using both binary-random memory sets and more practical memory sets consisting of gray scale face images. The results show that the weighted voting memory offers higher performance over the voting memory on both types of memory sets
Keywords
content-addressable storage; face recognition; pattern classification; associative memory; binary memory set; face recognition; gray scale face image; random memory set; weighted voting model; Associative memory; Control systems; Databases; Distortion measurement; Image processing; Pattern matching; Random access memory; Read-write memory; Testing; Voting; Face Recognition; associative memory; classification; voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Conference_Location
Waikoloa, HI
Print_ISBN
0-7803-9298-1
Type
conf
DOI
10.1109/ICSMC.2005.1571318
Filename
1571318
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