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Volumn 16, Issue 2, 2002, Pages 192-195

An adaptive weighted majority vote rule for combining multiple classifiers

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; DECISION MAKING; GENETIC ALGORITHMS; OPTIMIZATION; PATTERN RECOGNITION; PROBLEM SOLVING; CHARACTER RECOGNITION; CLASSIFICATION (OF INFORMATION); GLOBAL OPTIMIZATION;

EID: 33751584414     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (18)
  • 2
    • 0029247604 scopus 로고
    • Combining multiple neural networks by fuzzy integral for robust classification
    • S.-B. Cho and J. H. Kim. Combining multiple neural networks by fuzzy integral for robust classification. IEEE Transactions on Systems, Man and Cybernetics, 25(2):380-384, 1995.
    • (1995) IEEE Transactions on Systems, Man and Cybernetics , vol.25 , Issue.2 , pp. 380-384
    • Cho, S.-B.1    Kim, J.H.2
  • 6
    • 0029230267 scopus 로고
    • A method of combining multiple experts for the recognition of unconstrained handwritten numerals
    • Y. S. Huang and C. Y. Suen. A method of combining multiple experts for the recognition of unconstrained handwritten numerals. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(1):90-94, 1995.
    • (1995) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.17 , Issue.1 , pp. 90-94
    • Huang, Y.S.1    Suen, C.Y.2
  • 8
    • 5244322206 scopus 로고    scopus 로고
    • Improving recognition rates by classifier combination: A theoretical framework
    • D. A. C. and I. S., editors, Singapore. World Scientific Publishing
    • J. Kittler. Improving recognition rates by classifier combination: A theoretical framework. In D. A. C. and I. S., editors, Progress in Handwriting Recognition, pages 231-248, Singapore, 1997. World Scientific Publishing.
    • (1997) Progress in Handwriting Recognition , pp. 231-248
    • Kittler, J.1
  • 10
    • 0029373189 scopus 로고
    • Optimal combination of pattern classifiers
    • L. Lam and C. Suen. Optimal combination of pattern classifiers. Pattern Recognition Letters, 16:945-954, 1995.
    • (1995) Pattern Recognition Letters , vol.16 , pp. 945-954
    • Lam, L.1    Suen, C.2
  • 12
    • 85115251311 scopus 로고
    • A theoretical analysis of the application of majority voting to pattern recognition
    • IEEE Computer Society Press
    • L. Lam and C. Y. Suen. A theoretical analysis of the application of majority voting to pattern recognition. In Proceedings of the 12th International Conference on Pattern Recognition, volume 2, pages 418-420. IEEE Computer Society Press, 1994.
    • (1994) Proceedings of the 12th International Conference on Pattern Recognition , vol.2 , pp. 418-420
    • Lam, L.1    Suen, C.Y.2
  • 16
    • 0033079110 scopus 로고    scopus 로고
    • Off-line signature verification using genetically optimized weighted features
    • V. E. Ramesh and M. N. Murty. Off-line signature verification using genetically optimized weighted features. Pattern Recognition, 32(2):217-233, 1999.
    • (1999) Pattern Recognition , vol.32 , Issue.2 , pp. 217-233
    • Ramesh, V.E.1    Murty, M.N.2
  • 18
    • 0026860706 scopus 로고
    • Methods of combining multiple classifiers and their applications to handwriting recognition
    • L. Xu, A. Krzyzak, and C. Y. Suen. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Transactions on Systems, Man, and Cybernetics, 22(3):418-435, 1992.
    • (1992) IEEE Transactions on Systems, Man, and Cybernetics , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.