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Volumn 2364, Issue , 2002, Pages 27-41

Multiple classification systems in the context of feature extraction and selection

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; FEATURE EXTRACTION;

EID: 23044533829     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45428-4_3     Document Type: Conference Paper
Times cited : (5)

References (26)
  • 1
    • 0039596305 scopus 로고
    • On the problems of sample size in pattern recognition
    • Pugatchiov V.S. (editor) , Proceedings of the 2nd All-Union Conference Statistical Methods in Control Theory. Nauka, Moscow, in Russian
    • Raudys S. On the problems of sample size in pattern recognition. In: Pugatchiov V.S. (editor) Detection, Pattern Recognition and Experiment Design, Proceedings of the 2nd All-Union Conference Statistical Methods in Control Theory. Nauka, Moscow. 2:64-76 (in Russian), 1970.
    • (1970) Detection, Pattern Recognition and Experiment Design , vol.2 , pp. 64-76
    • Raudys, S.1
  • 2
    • 0001050283 scopus 로고
    • On dimensionality and sample size in statistical pattern classification
    • Kanal L. and Chandrasekaran B. On dimensionality and sample size in statistical pattern classification. Pattern Recognition3:238-55, 1971.
    • (1971) Pattern Recognition , vol.3 , pp. 238-255
    • Kanal, L.1    Chandrasekaran, B.2
  • 6
    • 0007729457 scopus 로고    scopus 로고
    • Springer Lecture Notes in Computer Science, Springer Vol. 1857 (2000)
    • Kittler J. and F. Roli (eds.). Multiple Classifier Systems. Springer Lecture Notes in Computer Science, Springer Vol. 1857 (2000), Vol. 2096, 2001.
    • (2001) Multiple Classifier Systems , vol.2096
    • Kittler, J.1    Roli, F.2
  • 7
    • 84956973748 scopus 로고    scopus 로고
    • Data complexity analysis for classifier combination
    • Springer Lecture Notes in Computer Science, Springer
    • Ho T.K. Data complexity analysis for classifier combination. Multiple Classifier Systems. Springer Lecture Notes in Computer Science, Springer Vol. 2096(2001): 53-67.
    • (2001) Multiple Classifier Systems , vol.2096 , pp. 53-67
    • Ho, T.K.1
  • 8
    • 0035541028 scopus 로고    scopus 로고
    • MLP based linear feature extraction for nonlinearly separable data
    • Raudys A., Long J. A.. MLP based linear feature extraction for nonlinearly separable data, Pattern Analysis & Applications, 4(4): 227-34, 2001.
    • (2001) Pattern Analysis & Applications , vol.4 , Issue.4 , pp. 227-234
    • Raudys, A.1    Long, J.A.2
  • 10
    • 0019999412 scopus 로고
    • (1982) Linear dimension reduction and Bayes classification with unkown parameters
    • Tubbs J.D., Coberley W.A., Young D.M. (1982) Linear dimension reduction and Bayes classification with unkown parameters. Pattern Recognition14(3):167-172, 1982.
    • (1982) Pattern Recognition , vol.14 , Issue.3 , pp. 167-172
    • Tubbs, J.D.1    Coberley, W.A.2    Young, D.M.3
  • 12
    • 34147138531 scopus 로고    scopus 로고
    • Classifiers for dissimilarity-based pattern recognition
    • IEEE press, Los Alamitos
    • Duin R.P.W. Classifiers for dissimilarity-based pattern recognition. Proc. 15th Int. Conf of Pattern Recognition. IEEE press, Los Alamitos, 2: 1-7, 2000.
    • (2000) Proc. 15 , vol.2 , pp. 1-7
    • Duin, R.P.W.1
  • 13
    • 84877780752 scopus 로고    scopus 로고
    • Biologically inspired architecture of feedforward networks for signal classification
    • Ferri F, Pudil P (eds). Springer Lecture Notes in Computer Science
    • Raudys S and Tamosiunaite M. Biologically inspired architecture of feedforward networks for signal classification. Advances in Pattern Recognition. Ferri F, Pudil P (eds). Springer Lecture Notes in Computer Science. Vol. 1876, pp. 727-736, 2000.
    • (2000) Advances in Pattern Recognition , vol.1876 , pp. 727-736
    • Raudys, S.1    Tamosiunaite, M.2
  • 14
    • 84994037050 scopus 로고    scopus 로고
    • Dynamic classifier selection based on multiple classifier behaviour
    • Giacinto G. and Roli F. Dynamic classifier selection based on multiple classifier behaviour. Pattern Recognition, 34(9):179-181, 2001.
    • (2001) Pattern Recognition , vol.34 , Issue.9 , pp. 179-181
    • Giacinto, G.1    Roli, F.2
  • 15
    • 0034830461 scopus 로고    scopus 로고
    • Decision templates for multiple classifier fusion: And experimental comparison
    • Kuncheva L.I., Bezdek J.C. Duin and R.P.W. Decision templates for multiple classifier fusion: and experimental comparison. Pattern Recognition34: 299-314, 2001.
    • (2001) Pattern Recognition , vol.34 , pp. 299-314
    • Kuncheva, L.I.1    Duin, B.J.2
  • 17
    • 22844445181 scopus 로고    scopus 로고
    • An experimental comparison of fixed and trained fusion rules for crisp classifiers
    • In: Kittler J. and F. Roli (eds.), Springer Lecture Notes in Computer Science, Springer
    • Roli F., Raudys S. and Marcialis G.L. An experimental comparison of fixed and trained fusion rules for crisp classifiers. In: Kittler J. and F. Roli (eds.). Multiple Classifier Systems. Springer Lecture Notes in Computer Science, Springer, 2002.
    • (2002) Multiple Classifier Systems
    • Roli, F.1    Raudys, S.2    Marcialis, G.L.3
  • 18
    • 26944472627 scopus 로고
    • Calculating statistical characteristics of experimental process for selecting the best version
    • In: Raudys S. (ed.), Institute of Mathematics and Informatics, Vilnius (in Russian)
    • Pikelis V. Calculating statistical characteristics of experimental process for selecting the best version. In: Raudys S. (ed.) Statistical Problems of Control, 93:46-56. Institute of Mathematics and Informatics, Vilnius (in Russian), 1991.
    • (1991) Statistical Problems of Control , vol.93 , pp. 46-56
    • Pikelis, V.1
  • 19
    • 1442282677 scopus 로고
    • Influence of sample size on the accuracy of model selection in pattern recognition
    • S Raudys S.(ed.), Institute of Mathematics and Informatics, Vilnius (in Russian)
    • Raudys S. Influence of sample size on the accuracy of model selection in pattern recognition. In: S Raudys S.(ed.), Statistical Problems of Control, 50:9-30. Institute of Mathematics and Informatics, Vilnius (in Russian), 1981.
    • (1981) Statistical Problems of Control , vol.50 , pp. 9-30
    • Raudys, S.1
  • 20
    • 33751572829 scopus 로고    scopus 로고
    • Reduction of the boasting bias of linear experts
    • In: Kittler J. and F. Roli (eds.), Springer Lecture Notes in Computer Science, Springer
    • Janeliunas A. and Raudys S. Reduction of the boasting bias of linear experts. In: Kittler J. and F. Roli (eds.). Multiple Classifier Systems. Springer Lecture Notes in Computer Science, Springer, 2002.
    • (2002) Multiple Classifier Systems
    • Janeliunas, A.1    Raudys, S.2
  • 22
    • 84947565568 scopus 로고    scopus 로고
    • Classification of respiratory sound patterns by means of cooperative neural networks
    • G.Ramponi, G.L.Sicuranza, S. Carrato, S.Marsi (editors), (isbn 88-86179-83-9). Edizioni Lint, Trieste
    • Güler C., Sankur B., Kahya Y., Skurichina M., Raudys S. Classification of respiratory sound patterns by means of cooperative neural networks. In:G.Ramponi, G.L.Sicuranza, S. Carrato, S.Marsi (editors), Proceedings of 8th European Signal Processing Conference (isbn 88-86179-83-9). Edizioni Lint, Trieste, 1996.
    • Proceedings of 8Th European Signal Processing Conference , pp. 1996
    • Güler, C.1    Sankur, B.2    Kahya, Y.3    Skurichina, M.4    Raudys, S.5
  • 23
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert D.H. Stacked generalization. Neural Networks5: 240-259, 1992.
    • (1992) Neural Networks , vol.5 , pp. 240-259
    • Wolpert, D.H.1
  • 26
    • 84947580855 scopus 로고    scopus 로고
    • Comparison of two classification methodologies on a real-world biomedical problem: A feature-extraction-based 3-stage strategy vs. The strategy of classifier complexity regularization and multiple classifier systems
    • Proc. SPR+SSPR’2002, Duin R.P.W. and Kamel M., eds.). Springer, Lecture Notes in Computer Science
    • Somorjai R.L, Janeliūnas A, Baumgartner R., Raudys S. Comparison of two classification methodologies on a real-world biomedical problem: A feature-extraction-based 3-stage strategy vs. the strategy of classifier complexity regularization and multiple classifier systems. Advances in Pattern Recognition(Proc. SPR+SSPR’2002, Duin R.P.W. and Kamel M., eds.). Springer, Lecture Notes in Computer Science, 2002.
    • (2002) Advances in Pattern Recognition
    • Somorjai, R.L.1    Janeliūnas, A.2    Baumgartner, R.3    Raudys, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.