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Volumn 49, Issue 2, 2007, Pages 329-342

Feature Fusion for the Detection of Microsleep Events

Author keywords

Automatic relevance determination; Delay vector variance; Feature fusion; Genetic algorithms; Learning vector quantization; Microsleep events; Support vector machines

Indexed keywords

FEATURE EXTRACTION; GENETIC ALGORITHMS; NEURAL NETWORKS; NONLINEAR ANALYSIS; SUPPORT VECTOR MACHINES; VECTOR QUANTIZATION;

EID: 35148834890     PISSN: 13875485     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11265-007-0083-4     Document Type: Article
Times cited : (62)

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    • Gautama, T.1    Mandic, D.P.2    Van Hulle, M.M.3
  • 12
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    • Support Vector Networks
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    • Generalized Relevance Learning Vector Quantization
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    • B. Hammer, T. Villmann, "Generalized Relevance Learning Vector Quantization," Neural Netw, vol. 15, nos. 8-9, 2002, pp. 1059-1068.
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  • 14
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    • Fusion of State Space and Frequency-Domain Features for Improved Microsleep Detection
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.