메뉴 건너뛰기




Volumn 1, Issue 2, 2010, Pages 113-135

Classifier combination and score level fusion: Concepts and practical aspects

Author keywords

Classification; Classifier combination; Data fusion; Image processing; Remote sensing; Score level fusion

Indexed keywords


EID: 79958710628     PISSN: 19479832     EISSN: 19479824     Source Type: Journal    
DOI: 10.1080/19479830903561944     Document Type: Review
Times cited : (24)

References (62)
  • 3
    • 79958708525 scopus 로고    scopus 로고
    • Multiple expert system design by combined feature selection and probability level fusion
    • Paris, France
    • Alkoot, F.M. and Kittler, J., 2000. Multiple expert system design by combined feature selection and probability level fusion. International conference on fusion, Paris, France, 34-41.
    • (2000) International conference on fusion , pp. 34-41
    • Alkoot, F.M.1    Kittler, J.2
  • 5
    • 0028257732 scopus 로고
    • Democracy in neural nets: Voting schemes for classification
    • Battiti, R. and Colla, A.M., 1994. Democracy in neural nets: voting schemes for classification. Neural Networks, 7, 691-707.
    • (1994) Neural Networks , vol.7 , pp. 691-707
    • Battiti, R.1    Colla, A.M.2
  • 6
    • 0035442720 scopus 로고    scopus 로고
    • Multisensor image segmentation using Dempster-Shafer fusion in Markov fields context
    • Bendjebour, A., et al., 2001. Multisensor image segmentation using Dempster-Shafer fusion in Markov fields context. IEEE Transactions on Geoscience and Remote Sensing, 39 (8), 1789-1798.
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.8 , pp. 1789-1798
    • Bendjebour, A.1
  • 14
    • 0028740629 scopus 로고
    • A divide-and-conquer methodology for modular supervised neural network design
    • Orlando
    • Chiang, C. and Fu, H., 1994. A divide-and-conquer methodology for modular supervised neural network design. Proceedings of world congress on computational intelligence, Orlando, 119-124.
    • (1994) Proceedings of world congress on computational intelligence , pp. 119-124
    • Chiang, C.1    Fu, H.2
  • 15
    • 79958730268 scopus 로고    scopus 로고
    • Combinaison de classifieurs: Une approche pour l'amélioration de la classification d'images multisources/multidates de télédétection
    • Chitroub, S., 2004. Combinaison de classifieurs: une approche pour l'amélioration de la classification d'images multisources/multidates de télédétection. Revue Télédétection, 4 (3), 289-301.
    • (2004) Revue Télédétection , vol.4 , Issue.3 , pp. 289-301
    • Chitroub, S.1
  • 19
    • 0029247604 scopus 로고
    • Combining multiple neural networks by fuzzy integral for robust classification
    • Cho, S. and Kim, J.H., 1995. Combining multiple neural networks by fuzzy integral for robust classification. IEEE Transactions on Systems, Man and Cybernetics, 25, 380-384.
    • (1995) IEEE Transactions on Systems, Man and Cybernetics , vol.25 , pp. 380-384
    • Cho, S.1    Kim, J.H.2
  • 20
    • 45249128876 scopus 로고
    • Combining forecasts: A review and annotated bibliography
    • Clemen, R.T., 1989. Combining forecasts: a review and annotated bibliography. International Journal of Forecasting, 5, 559-583.
    • (1989) International Journal of Forecasting , vol.5 , pp. 559-583
    • Clemen, R.T.1
  • 21
    • 53349084895 scopus 로고    scopus 로고
    • Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas
    • Dalponte, M., Bruzzone, L., and Gianelle, D., 2008. Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas. IEEE Transactions on Geoscience and Remote Sensing, 46 (5), 1416-1427.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.5 , pp. 1416-1427
    • Dalponte, M.1    Bruzzone, L.2    Gianelle, D.3
  • 22
    • 0001337304 scopus 로고
    • Boosting and other ensemble methods
    • Drucker, H., et al., 1994. Boosting and other ensemble methods. Neural Computation, 6 (6), 1289-1301.
    • (1994) Neural Computation , vol.6 , Issue.6 , pp. 1289-1301
    • Drucker, H.1
  • 27
    • 0011187879 scopus 로고    scopus 로고
    • Multiple classifier combination: Lessons and next Steps
    • In: H. Brunke and A. Kendel, eds., New Jersey: World Scientific
    • Ho, T.K., 2002. Multiple classifier combination: lessons and next Steps. In: H. Brunke and A. Kendel, eds. Hybrid methods in pattern recognition. New Jersey: World Scientific, 171-198.
    • (2002) Hybrid methods in pattern recognition , pp. 171-198
    • Ho, T.K.1
  • 29
    • 0029230267 scopus 로고
    • A method of combining multiple experts for the recognition of unconstrained handwritten numerals
    • Huang, Y.S. and Suen, C.Y., 1995. A method of combining multiple experts for the recognition of unconstrained handwritten numerals. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17, 90-94.
    • (1995) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.17 , pp. 90-94
    • Huang, Y.S.1    Suen, C.Y.2
  • 30
  • 32
    • 0001940458 scopus 로고
    • Adaptive mixtures of local experts
    • Jacobs, R.A., et al., 1991. Adaptive mixtures of local experts. Neural Computation, 3 (1), 79-87.
    • (1991) Neural Computation , vol.3 , Issue.1 , pp. 79-87
    • Jacobs, R.A.1
  • 34
    • 0031169205 scopus 로고    scopus 로고
    • Optimal approximation of discrete probability distribution with kth-order dependency and its application to combining multiple classifiers
    • Kang, H., Kim, K., and Kim, J.H., 1997. Optimal approximation of discrete probability distribution with kth-order dependency and its application to combining multiple classifiers. Pattern Recognition Letters, 18, 515-523.
    • (1997) Pattern Recognition Letters , vol.18 , pp. 515-523
    • Kang, H.1    Kim, K.2    Kim, J.H.3
  • 35
    • 22444454265 scopus 로고    scopus 로고
    • Combining classifiers: A theoretical framework
    • Kittler, J., 1998. Combining classifiers: a theoretical framework. Pattern Analysis and Application, 1, 18-27.
    • (1998) Pattern Analysis and Application , vol.1 , pp. 18-27
    • Kittler, J.1
  • 38
    • 0034830461 scopus 로고    scopus 로고
    • Decision templates for multiple classifier fusion: An experimental comparison
    • Kuncheva, L.I., Bezdek, J.C., and Duin, R.P.W., 2001. Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognition, 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
  • 39
    • 0038133019 scopus 로고    scopus 로고
    • Limits on the majority vote accuracy in classifier fusion
    • Kuncheva, L.I., et al., 2003. Limits on the majority vote accuracy in classifier fusion. Pattern Analysis and Applications, 6 (1), 22-31.
    • (2003) Pattern Analysis and Applications , vol.6 , Issue.1 , pp. 22-31
    • Kuncheva, L.I.1
  • 40
    • 0031238275 scopus 로고    scopus 로고
    • Application of majority voting to pattern recognition: An analysis of its behaviour and performance
    • Lam, L. and Suen, C.Y., 1997. Application of majority voting to pattern recognition: an analysis of its behaviour and performance. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 553-568.
    • (1997) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , pp. 553-568
    • Lam, L.1    Suen, C.Y.2
  • 41
    • 0031190038 scopus 로고    scopus 로고
    • Application of Dempster-Shafer evidence theory to unsupervised classification in multisource remote sensing
    • Le Hegarat-Mascle, S., Bloch, I., and Vidal-Madjar, D., 1997. Application of Dempster-Shafer evidence theory to unsupervised classification in multisource remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 35 (4), 1018-1031.
    • (1997) IEEE Transactions on Geoscience and Remote Sensing , vol.35 , Issue.4 , pp. 1018-1031
    • Le Hegarat-Mascle, S.1    Bloch, I.2    Vidal-Madjar, D.3
  • 43
    • 53349156749 scopus 로고    scopus 로고
    • Possibilistic versus belief function fusion for antipersonnel mine detection
    • Milisavljevic, N. and Bloch, I., 2008. Possibilistic versus belief function fusion for antipersonnel mine detection. IEEE Transactions on Geoscience and Remote Sensing, 46 (5), 1488-1498.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.5 , pp. 1488-1498
    • Milisavljevic, N.1    Bloch, I.2
  • 44
    • 0026170884 scopus 로고
    • Logical versus analogical, or symbolic versus connectionist, or neat versus scruffy
    • Minsky, M., 1991. Logical versus analogical, or symbolic versus connectionist, or neat versus scruffy. Artificial Intelligence Magazine, 12 (2), 34-51.
    • (1991) Artificial Intelligence Magazine , vol.12 , Issue.2 , pp. 34-51
    • Minsky, M.1
  • 45
    • 0005199036 scopus 로고    scopus 로고
    • Thesis (Phd). Ecole Polytechnique LIX, Universitéde Paris Sud UFR Scientifique d'Orsay
    • Moobed, B., 1996. Combinaison de classifieurs, une nouvelle approche. Thesis (Phd). Ecole Polytechnique LIX, Universitéde Paris Sud UFR Scientifique d'Orsay.
    • (1996) Combinaison de classifieurs, une nouvelle approche
    • Moobed, B.1
  • 46
    • 44949271412 scopus 로고
    • A theory of fuzzy measure: Representations, the Choquet integral, and null sets
    • Murofushi, T. and Ugeno, M., 1991. A theory of fuzzy measure: representations, the Choquet integral, and null sets. Journal of Mathematical Analysis and Applications, 159, 532-549.
    • (1991) Journal of Mathematical Analysis and Applications , vol.159 , pp. 532-549
    • Murofushi, T.1    Ugeno, M.2
  • 47
  • 48
    • 0041027692 scopus 로고
    • Conditional independence and its representations
    • Pearl, J., Geiger, D., and Verma, T., 1989. Conditional independence and its representations. Kybernetika, 25 (2), 33-44.
    • (1989) Kybernetika , vol.25 , Issue.2 , pp. 33-44
    • Pearl, J.1    Geiger, D.2    Verma, T.3
  • 49
    • 27744533915 scopus 로고    scopus 로고
    • How do correlation and variance of base-experts affect fusion in biometric authentication
    • Poh, N. and Bengio, S., 2005. How do correlation and variance of base-experts affect fusion in biometric authentication. IEEE Transactions on Signal Processing, 53 (11), 4384-4396.
    • (2005) IEEE Transactions on Signal Processing , vol.53 , Issue.11 , pp. 4384-4396
    • Poh, N.1    Bengio, S.2
  • 50
    • 0027961797 scopus 로고
    • Combining the results of several neural network classifiers
    • Rogova, G., 1994. Combining the results of several neural network classifiers. Neural Networks, 7, 777-781.
    • (1994) Neural Networks , vol.7 , pp. 777-781
    • Rogova, G.1
  • 52
    • 0038343934 scopus 로고    scopus 로고
    • Information fusion in biometrics
    • Ross, A. and Jain, A.K., 2003. Information fusion in biometrics. Pattern Recognition Letters, 24 (13), 2115-2125.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.13 , pp. 2115-2125
    • Ross, A.1    Jain, A.K.2
  • 54
    • 4243700399 scopus 로고    scopus 로고
    • Information fusion and person verification using speech and face information
    • IDIAP
    • Sanderson, C. and Paliwal, K.K., 2002. Information fusion and person verification using speech and face information. Research Paper IDIAP-RR 02-33, IDIAP.
    • (2002) Research Paper IDIAP-RR 02-33
    • Sanderson, C.1    Paliwal, K.K.2
  • 58
    • 0038637209 scopus 로고    scopus 로고
    • Multi-agent reinforcement learning: Independent vs. cooperative learning
    • In: M.N. Huhns and M.P. Singh, eds., San Francisco, USA: Morgan Kaufman
    • Tan, M., 1997. Multi-agent reinforcement learning: independent vs. cooperative learning. In: M.N. Huhns and M.P. Singh, eds. Reading in agents. San Francisco, USA: Morgan Kaufman, 487-494.
    • (1997) Reading in agents , pp. 487-494
    • Tan, M.1
  • 61
    • 0026860706 scopus 로고
    • Methods of combining multiple classifiers and their applications to handwriting recognition
    • Xu, L., Krzyzak, A., and Suen, C., 1992. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Transactions on Systems, Man, and Cybernetics, 22 (3), 418-435.
    • (1992) IEEE Transactions on Systems, Man, and Cybernetics , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.3
  • 62
    • 0028538778 scopus 로고
    • Discrimination of characters by a multi-stage recognition process
    • Zhou, J. and Pavlidis, T., 1994. Discrimination of characters by a multi-stage recognition process. Pattern Recognition, 27, 1539-1549.
    • (1994) Pattern Recognition , vol.27 , pp. 1539-1549
    • Zhou, J.1    Pavlidis, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.