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Volumn 43, Issue , 2013, Pages 74-81

Structural twin support vector machine for classification

Author keywords

Classification; Machine learning; Optimization; Structural information of data; Twin support vector machine

Indexed keywords

CLASSIFICATION ACCURACY; COMPUTATION TIME; DOMAIN KNOWLEDGE; LARGE MARGIN METHODS; PRIOR INFORMATION; STATE-OF-THE-ART ALGORITHMS; STRUCTURAL INFORMATION; TWIN SUPPORT VECTOR MACHINES;

EID: 84875271568     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2013.01.008     Document Type: Article
Times cited : (139)

References (30)
  • 1
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes, and V.N. Vapnik Support-vector networks Machine Learning 20 3 1995 273 297
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.N.2
  • 3
    • 1542379687 scopus 로고    scopus 로고
    • Statistical Learning and Kernel Methods in Bioinformatics
    • B. Schölkopf, I. Guyon, J. Weston, Statistical Learning and Kernel Methods in Bioinformatics, Tech. Rep., 2000.
    • (2000) Tech. Rep.
    • B. Schölkopf1
  • 4
    • 68249088215 scopus 로고    scopus 로고
    • Model selection for the LS-SVM. Application to handwriting recognition
    • M.M. Adankon, and M. Cheriet Model selection for the LS-SVM. Application to handwriting recognition Pattern Recognition 42 12 2009 3264 3270
    • (2009) Pattern Recognition , vol.42 , Issue.12 , pp. 3264-3270
    • Adankon, M.M.1    Cheriet, M.2
  • 5
    • 80052735710 scopus 로고    scopus 로고
    • A novel SVM+NDA model for classification with an application to face recognition
    • N. Khan, R. Ksantini, I. Ahmad, and B. Boufama A novel SVM+NDA model for classification with an application to face recognition Pattern Recognition 45 1 2012 66 79
    • (2012) Pattern Recognition , vol.45 , Issue.1 , pp. 66-79
    • Khan, N.1    Ksantini, R.2    Ahmad, I.3    Boufama, B.4
  • 6
    • 44649101311 scopus 로고    scopus 로고
    • Robust and efficient multiclass SVM models for phrase pattern recognition
    • Y.-C. Wu, Y.-S. Lee, and J.-C. Yang Robust and efficient multiclass SVM models for phrase pattern recognition Pattern Recognition 41 9 2008 2874 2889
    • (2008) Pattern Recognition , vol.41 , Issue.9 , pp. 2874-2889
    • Wu, Y.-C.1    Lee, Y.-S.2    Yang, J.-C.3
  • 7
    • 42749095524 scopus 로고    scopus 로고
    • SVM-based active feedback in image retrieval using clustering and unlabeled data
    • R. Liu, Y. Wang, T. Baba, D. Masumoto, and S. Nagata SVM-based active feedback in image retrieval using clustering and unlabeled data Pattern Recognition 41 8 2008 2645 2655
    • (2008) Pattern Recognition , vol.41 , Issue.8 , pp. 2645-2655
    • Liu, R.1    Wang, Y.2    Baba, T.3    Masumoto, D.4    Nagata, S.5
  • 9
    • 84884590123 scopus 로고    scopus 로고
    • Adaptive feature selection via a new version of support vector machine
    • doi:10.1007/s00521-012-1018-y
    • J. Tan, Z. Zhang, L. Zhen, C. Zhang, N. Deng, Adaptive feature selection via a new version of support vector machine, Neural Computing and Applications. doi:10.1007/s00521-012-1018-y.
    • Neural Computing and Applications
    • Tan, J.1    Zhang, Z.2    Zhen, L.3    Zhang, C.4    Deng, N.5
  • 10
    • 34547446205 scopus 로고    scopus 로고
    • Structured large margin machines: Sensitive to data distributions
    • D. Yeung, D. Wang, W. Ng, E. Tsang, and X. Wang Structured large margin machines: sensitive to data distributions Machine Learning 68 2 2007 171 200
    • (2007) Machine Learning , vol.68 , Issue.2 , pp. 171-200
    • Yeung, D.1    Wang, D.2    Ng, W.3    Tsang, E.4    Wang, X.5
  • 12
    • 79953810586 scopus 로고    scopus 로고
    • Structural regularized support vector machine: A framework for structural large margin classifier
    • 10.1109/TNN.2011.2108315
    • H. Xue, S. Chen, and Q. Yang Structural regularized support vector machine: a framework for structural large margin classifier IEEE Transactions on Neural Networks 22 4 2011 573 587 10.1109/TNN.2011.2108315
    • (2011) IEEE Transactions on Neural Networks , vol.22 , Issue.4 , pp. 573-587
    • Xue, H.1    Chen, S.2    Yang, Q.3
  • 13
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • 10.2307/2282967
    • J. Ward Hierarchical grouping to optimize an objective function Journal of the American Statistical Association 58 301 1963 236 244 10.2307/2282967
    • (1963) Journal of the American Statistical Association , vol.58 , Issue.301 , pp. 236-244
    • Ward, J.1
  • 18
    • 82355169634 scopus 로고    scopus 로고
    • Coordinate descent margin based-twin support vector machine for classification
    • Y.-H. Shao, and Nai A coordinate descent margin based-twin support vector machine for classification Neural Networks 25 2012 114 121
    • (2012) Neural Networks , vol.25 , pp. 114-121
    • Shao, Y.-H.1    Nai, A.2
  • 19
    • 84866023118 scopus 로고    scopus 로고
    • Robust twin support vector machine for pattern classification
    • 10.1016/j.patcog.2012.06.019
    • Z. Qi, Y. Tian, and S. Yong Robust twin support vector machine for pattern classification Pattern Recognition 46 1 2013 305 316 10.1016/j.patcog.2012.06.019
    • (2013) Pattern Recognition , vol.46 , Issue.1 , pp. 305-316
    • Qi, Z.1    Tian, Y.2    Yong, S.3
  • 20
    • 84867356258 scopus 로고    scopus 로고
    • Twin support vector machine with universum data
    • 10.1016/j.neunet.2012.09.004
    • Z. Qi, Y. Tian, and S. Yong Twin support vector machine with universum data Neural Networks 36C 2012 112 119 10.1016/j.neunet.2012.09.004
    • (2012) Neural Networks , vol.36 C , pp. 112-119
    • Qi, Z.1    Tian, Y.2    Yong, S.3
  • 21
    • 84865661519 scopus 로고    scopus 로고
    • Laplacian twin support vector machine for semi-supervised classification
    • http://dx.doi.org/10.1016/ j.neunet. 2012.07.011
    • Z. Qi, Y. Tian, and S. Yong Laplacian twin support vector machine for semi-supervised classification Neural Networks 35 2012 46 53 http://dx.doi.org/10.1016/ j.neunet. 2012.07.011
    • (2012) Neural Networks , vol.35 , pp. 46-53
    • Qi, Z.1    Tian, Y.2    Yong, S.3
  • 22
    • 84878016001 scopus 로고    scopus 로고
    • Multiple birth support vector machine for multi-class classification
    • doi:10.1007/s00521-012-1108-x
    • Z. Yang, Y. Shao, X. Zhang, Multiple birth support vector machine for multi-class classification, Neural Computing and Application. doi:10.1007/s00521-012-1108-x.
    • Neural Computing and Application
    • Yang, Z.1    Shao, Y.2    Zhang, X.3
  • 23
    • 10044256143 scopus 로고    scopus 로고
    • Determining the Number of Clusters/Segments in Hierarchical Clustering/Segmentation Algorithms
    • S. Salvador, P. Chan, Determining the Number of Clusters/Segments in Hierarchical Clustering/Segmentation Algorithms, Tech. Rep., 2003.
    • (2003) Tech. Rep.
    • Salvador, S.1    Chan, P.2
  • 27
    • 0032594961 scopus 로고    scopus 로고
    • Successive overrelaxation for support vector machines
    • 10.1109/72.788643
    • O.L. Mangasarian, and D.R. Musicant Successive overrelaxation for support vector machines IEEE Transactions on Neural Networks 10 5 1999 1032 1037 10.1109/72.788643
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.5 , pp. 1032-1037
    • Mangasarian, O.L.1    Musicant, D.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.