Trainable and Low-Cost SMO Pattern Classifier Implemented via MCMC and SFBS Technologies-Reference-Cited by-同舟云学术

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Trainable and Low-Cost SMO Pattern Classifier Implemented via MCMC and SFBS Technologies

Published:2015-10 Issue:10 Volume:23 Page:2295-2306
ISSN:1063-8210
Container-title:IEEE Transactions on Very Large Scale Integration (VLSI) Systems
language:
Short-container-title:IEEE Trans. VLSI Syst.

Author:

Peng Chih-Hsiang,Kuan Ta-Wen,Lin Po-Chuan,Wang Jhing-Fa,Wu Guo-Ji

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

http://xplorestaging.ieee.org/ielx7/92/7274516/06953305.pdf?arnumber=6953305

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