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Volumn 5, Issue 3, 2010, Pages 461-469

Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution

Author keywords

Biometric authentication; information fusion; missing features; multimodal biometrics; multiple classifiers system

Indexed keywords

BIOMETRIC AUTHENTICATION; DATA SETS; GENERALIZATION PERFORMANCE; MATCH SCORE; MISSING FEATURES; MISSING VALUES; MULTI-MODAL; MULTI-MODAL BIOMETRICS; MULTI-MODAL FUSION; MULTIPLE CLASSIFIERS SYSTEMS; NEUTRAL POINTS; SUBSTITUTION METHOD; SUM RULE; TRAINING FRAMEWORK;

EID: 77955673246     PISSN: 15566013     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIFS.2010.2053535     Document Type: Article
Times cited : (18)

References (18)
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  • 9
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  • 10
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    • The neutral point method for kernel-based combination of disjoint training data in multi-modal pattern recognition problem
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    • D. Windridge, V. Mottl, A. Tatarchuk, and A. Eliseyev, "The neutral point method for kernel-based combination of disjoint training data in multi-modal pattern recognition problem," in Proc. Multiple Classifier Systems 2007 (MCS 2007), 2008, pp. 13-21, LNCS 4472/2007.
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  • 18
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.