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Multi-class pattern learning using spread spectrum codes

EL-HELW, Amr, MONIRI, Mansour and Chibelushi, C.C. (2006) Multi-class pattern learning using spread spectrum codes. Electronics Letters, 42 (16). pp. 908-909. ISSN 00135194

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Abstract or description

A new pattern classification approach based on multi-user communication techniques is proposed for improving multi-class learning performance. The spreading gain of code division multiple access is used instead of the coding gain of error-correcting output codes to increase classification accuracy. Results show that spread spectrum codes give better classification accuracy than error-correcting output codes up to 14.25%.

Item Type: Article
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Depositing User: Claude CHIBELUSHI
Date Deposited: 10 Apr 2013 19:18
Last Modified: 24 Feb 2023 13:37

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