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Volumn 29, Issue 6, 2008, Pages 745-753

Matrix-pattern-oriented least squares support vector classifier with AdaBoost

Author keywords

AdaBoost; Classifier design; Ensemble system; Least squares support vector classifier (LSSVC); Matrix pattern; Pattern recognition

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEAST SQUARES APPROXIMATIONS; PROBLEM SOLVING; SUPPORT VECTOR MACHINES; SYSTEMS ANALYSIS;

EID: 39949084674     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.12.005     Document Type: Article
Times cited : (15)

References (26)
  • 1
    • 0030056823 scopus 로고    scopus 로고
    • Image representations for visual learning
    • Beymer D., and Poggio T. Image representations for visual learning. Science 272 (1996) 1905-1909
    • (1996) Science , vol.272 , pp. 1905-1909
    • Beymer, D.1    Poggio, T.2
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictor
    • Breiman L. Bagging predictor. Mach. Learn. 24 (1996) 123-140
    • (1996) Mach. Learn. , vol.24 , pp. 123-140
    • Breiman, L.1
  • 3
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition system which can solve the small sample size problem
    • Chen L.F., Liao H.Y.M., Ko M.T., Lin J.C., and Yu G.J. A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recogn. 33 (2000) 1713-1726
    • (2000) Pattern Recogn. , vol.33 , pp. 1713-1726
    • Chen, L.F.1    Liao, H.Y.M.2    Ko, M.T.3    Lin, J.C.4    Yu, G.J.5
  • 4
    • 17644418756 scopus 로고    scopus 로고
    • Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA
    • Chen S.C., Zhu Y.L., Zhang D.Q., and Yang J. Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognition Lett. 26 (2005) 1157-1167
    • (2005) Pattern Recognition Lett. , vol.26 , pp. 1157-1167
    • Chen, S.C.1    Zhu, Y.L.2    Zhang, D.Q.3    Yang, J.4
  • 5
    • 39949085008 scopus 로고    scopus 로고
    • Cherkauer, K.J., 1996. Human expert-level performance on a scientific image analysis task by a system using combined artificial neural networks. In: Chan, P. (Ed.), Working Notes of the AAAI Workshop on Integrating Multiple Learned Modes, AAAI Press, Menlo Park, pp. 15-21.
    • Cherkauer, K.J., 1996. Human expert-level performance on a scientific image analysis task by a system using combined artificial neural networks. In: Chan, P. (Ed.), Working Notes of the AAAI Workshop on Integrating Multiple Learned Modes, AAAI Press, Menlo Park, pp. 15-21.
  • 6
    • 39949084626 scopus 로고    scopus 로고
    • Cunningham, P., Carney, J., 2000. Diversity versus quality in classification ensembles based on feature selection. Technical Report TCD-CS-2000-02, Department of Computer Science, Trinity College Dublin.
    • Cunningham, P., Carney, J., 2000. Diversity versus quality in classification ensembles based on feature selection. Technical Report TCD-CS-2000-02, Department of Computer Science, Trinity College Dublin.
  • 7
    • 39949084428 scopus 로고    scopus 로고
    • Dietterich, T.G., 2002. Ensemble learning. In: The Handbook of Brain Theory and Neural Networks, second ed.
    • Dietterich, T.G., 2002. Ensemble learning. In: The Handbook of Brain Theory and Neural Networks, second ed.
  • 8
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • Dietterich T.G., and Bakiri G. Solving multiclass learning problems via error-correcting output codes. J. Artif. Intell. Res. 2 (1995) 263-286
    • (1995) J. Artif. Intell. Res. , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 10
    • 39949083892 scopus 로고    scopus 로고
    • Freund, Y., Schapire, R.E., 1996. Experiments with a new boosting algorithm. In: Machine Learning: Proc. 13th Internat. Conf., pp. 148-156.
    • Freund, Y., Schapire, R.E., 1996. Experiments with a new boosting algorithm. In: Machine Learning: Proc. 13th Internat. Conf., pp. 148-156.
  • 11
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund Y., and Schapire R.E. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55 1 (1997) 119-139
    • (1997) J. Comput. Syst. Sci. , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 12
    • 0032139235 scopus 로고    scopus 로고
    • The random subspace method for constructing decision forests
    • Ho T.K. The random subspace method for constructing decision forests. IEEE Trans. Pattern Anal. Machine Intell. 20 (1998) 832-844
    • (1998) IEEE Trans. Pattern Anal. Machine Intell. , vol.20 , pp. 832-844
    • Ho, T.K.1
  • 13
    • 0000749354 scopus 로고
    • Neural network ensembles cross validation and active learning
    • Tesauro G., Touretzky D., and Leens T. (Eds), MIT Press, Cambridge, MA
    • Krogh A., and Vedelsby J. Neural network ensembles cross validation and active learning. In: Tesauro G., Touretzky D., and Leens T. (Eds). Neural Information Processing Systems vol. 7 (1995), MIT Press, Cambridge, MA 31-238
    • (1995) Neural Information Processing Systems , vol.7 , pp. 31-238
    • Krogh, A.1    Vedelsby, J.2
  • 14
    • 84867038166 scopus 로고    scopus 로고
    • Classifier combinations: Implementations and theoretical issues
    • Multiple classifier systems. Kittler J., and Roli F. (Eds), Springer, Cagliari, Italy
    • Lam L. Classifier combinations: Implementations and theoretical issues. In: Kittler J., and Roli F. (Eds). Multiple classifier systems. Lecture Notes in Computer Science vol. 1857 (2000), Springer, Cagliari, Italy 8-86
    • (2000) Lecture Notes in Computer Science , vol.1857 , pp. 8-86
    • Lam, L.1
  • 15
    • 14644408830 scopus 로고    scopus 로고
    • 2D-LDA: A statistical linear discriminant analysis for image matrix
    • Li M., and Yuan B. 2D-LDA: A statistical linear discriminant analysis for image matrix. Pattern Recognition Lett. 26 (2005) 527-532
    • (2005) Pattern Recognition Lett. , vol.26 , pp. 527-532
    • Li, M.1    Yuan, B.2
  • 16
    • 0024884032 scopus 로고    scopus 로고
    • Conceptual modeling of coincident failures in multiversion software
    • Littlewood B., and Miller D. Conceptual modeling of coincident failures in multiversion software. IEEE Trans. Software Eng. 15 12 (2000) 1596-1614
    • (2000) IEEE Trans. Software Eng. , vol.15 , Issue.12 , pp. 1596-1614
    • Littlewood, B.1    Miller, D.2
  • 17
    • 33748077128 scopus 로고    scopus 로고
    • Non-iterative generalized low rank approximation of matrices
    • Liu J., and Chen S.C. Non-iterative generalized low rank approximation of matrices. Pattern Recognition Lett. 27 9 (2006) 1002-1008
    • (2006) Pattern Recognition Lett. , vol.27 , Issue.9 , pp. 1002-1008
    • Liu, J.1    Chen, S.C.2
  • 18
    • 24644478168 scopus 로고    scopus 로고
    • Maree, R., Geurts, P., Piater, J., Wehenkel, L., 2005. Random subwindows for robust image classification. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition.
    • Maree, R., Geurts, P., Piater, J., Wehenkel, L., 2005. Random subwindows for robust image classification. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition.
  • 19
    • 32544443317 scopus 로고    scopus 로고
    • 2FLD: An efficient approach for appearance based object recognition
    • 2FLD: An efficient approach for appearance based object recognition. Neurocomputing 69 (2006) 934-940
    • (2006) Neurocomputing , vol.69 , pp. 934-940
    • Nagabhushan, P.1    Guru, D.S.2    Shekar, B.H.3
  • 20
    • 0030367578 scopus 로고    scopus 로고
    • Ensemble learning using decorrelated neural networks
    • Rosen B. Ensemble learning using decorrelated neural networks. Connect. Sci. 8 3/4 (1996) 373-383
    • (1996) Connect. Sci. , vol.8 , Issue.3-4 , pp. 373-383
    • Rosen, B.1
  • 21
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • Suykens J.A.K., and Vandewalle J. Least squares support vector machine classifiers. Neural Process. Lett. 9 (1999) 293-300
    • (1999) Neural Process. Lett. , vol.9 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 22
    • 24644473729 scopus 로고    scopus 로고
    • Wang, H., Ahuja, N., 2005. Rank-R Approximation of Tensors: Using Image-as-Matrix Representation. In: IEEE Conf. on Computer Vision and Pattern Recognition.
    • Wang, H., Ahuja, N., 2005. Rank-R Approximation of Tensors: Using Image-as-Matrix Representation. In: IEEE Conf. on Computer Vision and Pattern Recognition.
  • 23
    • 34547544292 scopus 로고    scopus 로고
    • New least squares support vector machines based on matrix patterns
    • Wang Z., and Chen S.C. New least squares support vector machines based on matrix patterns. Neural Process. Lett. 26 (2007) 41-56
    • (2007) Neural Process. Lett. , vol.26 , pp. 41-56
    • Wang, Z.1    Chen, S.C.2
  • 24
    • 0742268833 scopus 로고    scopus 로고
    • Two-dimension PCA: A new approach to appearance-based face representation and recognition
    • Yang J., Zhang D., Frangi A.F., and Yang J.U. Two-dimension PCA: A new approach to appearance-based face representation and recognition. IEEE Trans. Pattern Anal. Machine Intell. 26 1 (2004) 131-137
    • (2004) IEEE Trans. Pattern Anal. Machine Intell. , vol.26 , Issue.1 , pp. 131-137
    • Yang, J.1    Zhang, D.2    Frangi, A.F.3    Yang, J.U.4
  • 25
    • 30044447599 scopus 로고    scopus 로고
    • Generalized low rank approximation of matrices
    • Ye J. Generalized low rank approximation of matrices. Mach. Learn. 61 1-3 (2005) 167-191
    • (2005) Mach. Learn. , vol.61 , Issue.1-3 , pp. 167-191
    • Ye, J.1
  • 26
    • 27844449908 scopus 로고    scopus 로고
    • 2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition
    • 2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition. Neurocomputing 69 (2005) 224-231
    • (2005) Neurocomputing , vol.69 , pp. 224-231
    • Zhang, D.Q.1    Zhou, Z.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.