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Volumn 7, Issue 1, 2004, Pages 2-17

Confidence transformation for combining classifiers

Author keywords

Classifier combination; Confidence transformation; Evidence combination; Gaussian modeling; Logistic regression; Pattern classification

Indexed keywords


EID: 2442562179     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-003-0199-5     Document Type: Article
Times cited : (21)

References (48)
  • 1
    • 85012722936 scopus 로고
    • Combining the classification results of independent classifiers based on the Dempster-Shafer theory of evidence
    • Gelsema ES, Kanal LN (eds). Elsevier
    • Mandler E, Schürman J. Combining the classification results of independent classifiers based on the Dempster-Shafer theory of evidence. In: Gelsema ES, Kanal LN (eds). Pattern Recognition and Artificial Intelligence. Elsevier, 1988, pp.381-393.
    • (1988) Pattern Recognition and Artificial Intelligence , pp. 381-393
    • Mandler, E.1    Schürman, J.2
  • 2
    • 0026860706 scopus 로고
    • Methods of combining multiple classifiers and their applications to handwriting recognition
    • Xu L, Krzyzak A, Suen CY. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. System, Man, and Cybernetics 1992; 22(3): 418-435.
    • (1992) IEEE Trans. System, Man, and Cybernetics , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.Y.3
  • 5
    • 84867045064 scopus 로고    scopus 로고
    • Multiple classifier combination methodologies for different output levels
    • Kittler J, Roli F (eds). Multiple Classifier Systems, Springer
    • Suen CY, Lam L. Multiple classifier combination methodologies for different output levels. In: Kittler J, Roli F (eds). Multiple Classifier Systems, LNCS 1857. Springer, 2000, pp.52-66.
    • (2000) LNCS , vol.1857 , pp. 52-66
    • Suen, C.Y.1    Lam, L.2
  • 6
    • 2442483409 scopus 로고    scopus 로고
    • A novel confidence-based framework for multiple expert decision fusion
    • Carter N, Nixon MS (eds)
    • Rahman AF, Fairhurst MC. A novel confidence-based framework for multiple expert decision fusion. In: Carter N, Nixon MS (eds). Proc. 9th British Machine Vision Conference, 1998.
    • (1998) Proc. 9th British Machine Vision Conference
    • Rahman, A.F.1    Fairhurst, M.C.2
  • 7
    • 0036893996 scopus 로고    scopus 로고
    • Confidence measures for multimodal identity identification
    • Bengio S, Marcel C, Marcel S, Mariethoz J. Confidence measures for multimodal identity identification. Information Fusion 2002; 3(4): 267-276.
    • (2002) Information Fusion , vol.3 , Issue.4 , pp. 267-276
    • Bengio, S.1    Marcel, C.2    Marcel, S.3    Mariethoz, J.4
  • 9
    • 0034205922 scopus 로고    scopus 로고
    • Precise candidate selection for large character set recognition by confidence evaluation
    • Liu CL, Nakagawa M. Precise candidate selection for large character set recognition by confidence evaluation. IEEE Trans. Pattern Analysis and Machine Intelligence 2000; 22(6): 636-642.
    • (2000) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.22 , Issue.6 , pp. 636-642
    • Liu, C.L.1    Nakagawa, M.2
  • 11
    • 0001595997 scopus 로고
    • Neural network classifiers estimate Bayesian a posteriori probabilities
    • Richard MD, Lippmann RP. Neural network classifiers estimate Bayesian a posteriori probabilities. Neural Computation 1991; 4:461-483.
    • (1991) Neural Computation , vol.4 , pp. 461-483
    • Richard, M.D.1    Lippmann, R.P.2
  • 15
    • 0032131295 scopus 로고    scopus 로고
    • Adaptive confidence transform based classifier combination for Chinese character recognition
    • Lin X, Ding X, Chen M, Zhang R, Wu Y. Adaptive confidence transform based classifier combination for Chinese character recognition. Pattern Recognition Letters 1998; 19:975-988.
    • (1998) Pattern Recognition Letters , vol.19 , pp. 975-988
    • Lin, X.1    Ding, X.2    Chen, M.3    Zhang, R.4    Wu, Y.5
  • 16
    • 0011847141 scopus 로고
    • Transforming neural-net output levels to probability distribution
    • Lippmann RP, Moody JE, Touretzky DS (eds). Morgan Kauffman
    • Denker JS, LeCun Y. Transforming neural-net output levels to probability distribution. In: Lippmann RP, Moody JE, Touretzky DS (eds). Advances in Neural Information Processing 3. Morgan Kauffman, 1991, pp.853-859.
    • (1991) Advances in Neural Information Processing , vol.3 , pp. 853-859
    • Denker, J.S.1    LeCun, Y.2
  • 18
    • 84947790916 scopus 로고    scopus 로고
    • Classifier conditional posterior probabilities
    • Amin A, Dori D, Pudil P, Fremman H (eds). Advances in Pattern Recognition, Springer
    • Duin RPW, Tax DMJ. Classifier conditional posterior probabilities. In: Amin A, Dori D, Pudil P, Fremman H (eds). Advances in Pattern Recognition, LNCS 1451. Springer, 1998, pp.611-619.
    • (1998) LNCS , vol.1451 , pp. 611-619
    • Duin, R.P.W.1    Tax, D.M.J.2
  • 20
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • Smola AJ, Bartlett P, Scholkopf D, Schuurmanns D (eds). MIT Press
    • Platt J. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods, In: Smola AJ, Bartlett P, Scholkopf D, Schuurmanns D (eds). Advances in Large Margin Classifiers. MIT Press, 1999.
    • (1999) Advances in Large Margin Classifiers
    • Platt, J.1
  • 21
    • 2442495956 scopus 로고    scopus 로고
    • Practical combination of multiple classifiers
    • Downton AC, Impedovo S (eds), World Scientific
    • Gorski N, Practical combination of multiple classifiers, In: Downton AC, Impedovo S (eds), Progress of Handwriting Recognition. World Scientific, 1997.
    • (1997) Progress of Handwriting Recognition
    • Gorski, N.1
  • 22
    • 0040907586 scopus 로고    scopus 로고
    • A fast histogram-based post-processor that improves posterior probability estimates
    • Wei W, Leen TK, Barnard E. A fast histogram-based post-processor that improves posterior probability estimates. Neural Computation 1999; 11(5): 1235-1248.
    • (1999) Neural Computation , vol.11 , Issue.5 , pp. 1235-1248
    • Wei, W.1    Leen, T.K.2    Barnard, E.3
  • 25
    • 0031171679 scopus 로고    scopus 로고
    • Optimal linear combinations of neural networks
    • Hashem S. Optimal linear combinations of neural networks. Neural Networks 1997; 10(4): 599-614.
    • (1997) Neural Networks , vol.10 , Issue.4 , pp. 599-614
    • Hashem, S.1
  • 26
    • 0033893813 scopus 로고    scopus 로고
    • Optimal linear combination of neural networks for improving classification performance
    • Ueda N. Optimal linear combination of neural networks for improving classification performance. IEEE Trans. Pattern Analysis and Machine Intelligence 2000; 22(2): 207-215.
    • (2000) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.22 , Issue.2 , pp. 207-215
    • Ueda, N.1
  • 28
    • 84867038939 scopus 로고    scopus 로고
    • Experiments with classifier combining rules
    • Kittler J, Roli F (eds). Multiple Classifier Systems, Springer
    • Duin RPW, Tax DMJ. Experiments with classifier combining rules. In: Kittler J, Roli F (eds). Multiple Classifier Systems, LNCS 1857. Springer, 2000, pp. 16-29.
    • (2000) LNCS , vol.1857 , pp. 16-29
    • Duin, R.P.W.1    Tax, D.M.J.2
  • 29
    • 0034830461 scopus 로고    scopus 로고
    • Decision templates for multiple classifier fusion: An experimental comparison
    • Kuncheva LI, Bezdek JC, Duin RPW. Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognition 2001; 34(2): 299-314.
    • (2001) Pattern Recognition , vol.34 , Issue.2 , pp. 299-314
    • Kuncheva, L.I.1    Bezdek, J.C.2    Duin, R.P.W.3
  • 32
    • 0027961797 scopus 로고
    • Combining the results of several neural network classifiers
    • Rogova G. Combining the results of several neural network classifiers. Neural Networks 1994; 7(5): 777-781.
    • (1994) Neural Networks , vol.7 , Issue.5 , pp. 777-781
    • Rogova, G.1
  • 34
    • 0033220737 scopus 로고    scopus 로고
    • Combining multiple matches for a high security fingerprint verification system
    • Jain AK, Prabhakar S, Chen S. Combining multiple matches for a high security fingerprint verification system. Pattern Recognition Letters 1999; 20(11-13): 1371-1379.
    • (1999) Pattern Recognition Letters , vol.20 , Issue.11-13 , pp. 1371-1379
    • Jain, A.K.1    Prabhakar, S.2    Chen, S.3
  • 35
    • 0036650884 scopus 로고    scopus 로고
    • From members to teams to committee - A robust approach to gestural and multimodal recognition
    • Wu L, Oviatt SL, Cohen PR. From members to teams to committee - a robust approach to gestural and multimodal recognition. IEEE Trans. Neural Networks 2002; 13(4): 972-982.
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.4 , pp. 972-982
    • Wu, L.1    Oviatt, S.L.2    Cohen, P.R.3
  • 36
    • 0000583248 scopus 로고
    • Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
    • Fogelman-Soulie, Herault (eds). Springer
    • Bridle JS. Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition. In: Fogelman-Soulie, Herault (eds). Neurocomputing: Algorithms, Architectures and Applications. Springer, 1990, pp.227-236.
    • (1990) Neurocomputing: Algorithms, Architectures and Applications , pp. 227-236
    • Bridle, J.S.1
  • 38
    • 0042110552 scopus 로고    scopus 로고
    • Performance evaluation of pattern classifiers for handwritten character recognition
    • Liu CL, Sako H, Fujisawa H. Performance evaluation of pattern classifiers for handwritten character recognition. Int. J. Document Analysis and Recognition 2002; 4(3): 191-204.
    • (2002) Int. J. Document Analysis and Recognition , vol.4 , Issue.3 , pp. 191-204
    • Liu, C.L.1    Sako, H.2    Fujisawa, H.3
  • 39
    • 0043166439 scopus 로고    scopus 로고
    • Handwritten digit recognition: Benchmarking of state-of-the-art techniques
    • Liu CL, Nakashima K, Sako H, Fujisawa H. Handwritten digit recognition: benchmarking of state-of-the-art techniques. Pattern Recognition 2003; 36(10): 2271-2285.
    • (2003) Pattern Recognition , vol.36 , Issue.10 , pp. 2271-2285
    • Liu, C.L.1    Nakashima, K.2    Sako, H.3    Fujisawa, H.4
  • 40
    • 0242539897 scopus 로고    scopus 로고
    • Handwritten digit recognition: Investigation of normalization and feature extraction techniques
    • Liu CL, Nakashima K, Sako H, Fujisawa H. Handwritten digit recognition: investigation of normalization and feature extraction techniques. Pattern Recognition 2003; 37(2):265-279
    • (2003) Pattern Recognition , vol.37 , Issue.2 , pp. 265-279
    • Liu, C.L.1    Nakashima, K.2    Sako, H.3    Fujisawa, H.4
  • 42
    • 0001687181 scopus 로고    scopus 로고
    • Preprocessing and statistical/structural feature extraction for handwritten numeral recognition
    • Downton AC, Impedovo S (eds). World Scientific
    • Liu CL, Liu YJ, Dai RW. Preprocessing and statistical/structural feature extraction for handwritten numeral recognition. In: Downton AC, Impedovo S (eds). Progress of Handwriting Recognition. World Scientific, 1997, pp.161-168.
    • (1997) Progress of Handwriting Recognition , pp. 161-168
    • Liu, C.L.1    Liu, Y.J.2    Dai, R.W.3
  • 43
    • 84947719791 scopus 로고    scopus 로고
    • Aspect ratio adaptive normalization for handwritten character recognition
    • Tan T, Shi Y, Gao W (eds). Advances in Multimodal Interfaces - ICMI2000, Springer
    • Liu CL, Koga M, Sako H, Fujisawa H. Aspect ratio adaptive normalization for handwritten character recognition. In: Tan T, Shi Y, Gao W (eds). Advances in Multimodal Interfaces - ICMI2000, LNCS 1948. Springer, 2000, pp.418-425.
    • (2000) LNCS , vol.1948 , pp. 418-425
    • Liu, C.L.1    Koga, M.2    Sako, H.3    Fujisawa, H.4
  • 45
    • 0002044263 scopus 로고    scopus 로고
    • Pattern classification techniques based on function approximation
    • Bunke H, Wang PSP (eds). World Scientific
    • Kreßel U, Schürmann J. Pattern classification techniques based on function approximation. In: Bunke H, Wang PSP (eds). Handbook of Character Recognition and Document Image Analysis. World Scientific, 1997, pp.49-78.
    • (1997) Handbook of Character Recognition and Document Image Analysis , pp. 49-78
    • Kreßel, U.1    Schürmann, J.2
  • 46
    • 0035283342 scopus 로고    scopus 로고
    • Evaluation of prototype learning algorithms for nearest neighbor classifier in application to hand-written character recognition
    • Liu CL, Nakagawa M. Evaluation of prototype learning algorithms for nearest neighbor classifier in application to hand-written character recognition. Pattern Recognition 2001; 34(3): 601-615.
    • (2001) Pattern Recognition , vol.34 , Issue.3 , pp. 601-615
    • Liu, C.L.1    Nakagawa, M.2
  • 48
    • 0004067845 scopus 로고
    • NIST special database 19: Handprinted forms and characters database
    • Grother PJ, NIST special database 19: handprinted forms and characters database. Technical report and CDROM, 1995.
    • (1995) Technical Report and CDROM
    • Grother, P.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.