메뉴 건너뛰기




Volumn 73, Issue 10-12, 2010, Pages 1641-1651

Classification by semi-supervised discriminative regularization

Author keywords

Linear discriminant analysis; Manifold regularization; Semi supervised learning

Indexed keywords

CLASSIFICATION ALGORITHM; COHERENT FRAMEWORKS; DATA CLASSIFICATION; DATA DISTRIBUTION; DIMENSIONALITY REDUCTION METHOD; LABEL INFORMATION; LABELED AND UNLABELED DATA; LINEAR DISCRIMINANT ANALYSIS; NOVEL METHODS; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; WITHIN-CLASS COVARIANCE;

EID: 77952552460     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.11.040     Document Type: Article
Times cited : (38)

References (41)
  • 1
    • 33745465341 scopus 로고    scopus 로고
    • On manifold regularization, in: Proceedings of the International Workshop on Artificial Intelligence and Statistics.
    • M. Belkin, P. Niyogi, V. Sindhwani, On manifold regularization, in: Proceedings of the International Workshop on Artificial Intelligence and Statistics, 2005.
    • (2005)
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 2
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: a geometric framework for learning from labeled and unlabeled examples
    • Belkin M., Niyogi P., Sindhwani V. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. Journal on Machine Learning Research 2006, 7:2399-2434.
    • (2006) Journal on Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 3
    • 0010805362 scopus 로고    scopus 로고
    • Learning from labeled and unlabeled data using graph mincuts, in: Proceedings of the 18th International Conference on Machine Learning, Morgan Kaufmann, San Francisco, CA.
    • A. Blum, S. Chawla, Learning from labeled and unlabeled data using graph mincuts, in: Proceedings of the 18th International Conference on Machine Learning, Morgan Kaufmann, San Francisco, CA, 2001, pp. 19-26.
    • (2001) , pp. 19-26
    • Blum, A.1    Chawla, S.2
  • 4
    • 0031620208 scopus 로고    scopus 로고
    • Combining labeled and unlabeled data with co-training, in: COLT' 98: Proceedings of the Eleventh Annual Conference on Computational Learning Theory, ACM Press, New York, NY, USA.
    • A. Blum, T. Mitchell. Combining labeled and unlabeled data with co-training, in: COLT' 98: Proceedings of the Eleventh Annual Conference on Computational Learning Theory, ACM Press, New York, NY, USA, 1998, pp. 92-100.
    • (1998) , pp. 92-100
    • Blum, A.1    Mitchell, T.2
  • 6
    • 77952544652 scopus 로고    scopus 로고
    • Cluster kernels for semi-supervised learning, vol. 15, NIPS.
    • O. Chapelle, J. Weston, B. Schölkopf, Cluster kernels for semi-supervised learning, vol. 15, NIPS, 2003.
    • (2003)
    • Chapelle, O.1    Weston, J.2    Schölkopf, B.3
  • 7
    • 77952553263 scopus 로고    scopus 로고
    • Spectral graph theory, in: CBMS Regional Conference Series in Mathematics, No. 92, American Mathematical Society, February.
    • F.R.K. Chung, Spectral graph theory, in: CBMS Regional Conference Series in Mathematics, No. 92, American Mathematical Society, February, 1997.
    • (1997)
    • Chung, F.R.K.1
  • 8
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher R.A. The use of multiple measurements in taxonomic problems. Annals Eugenics 1936, 7:179-188.
    • (1936) Annals Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 10
    • 24644474150 scopus 로고    scopus 로고
    • Tangent-corrected embedding, in: IEEE Computer Society Conference on Computer Vision nd Pattern Recognition.
    • A. Ghodsi, J. Huang, F. Southey, D. Schuurmans, Tangent-corrected embedding, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 518-525.
    • (2005) , vol.1 , pp. 518-525
    • Ghodsi, A.1    Huang, J.2    Southey, F.3    Schuurmans, D.4
  • 11
    • 0000249788 scopus 로고    scopus 로고
    • An equivalence between sparse approximation and support vector machines
    • Girosi F. An equivalence between sparse approximation and support vector machines. Neural Computation 1997, 10:1455-1480.
    • (1997) Neural Computation , vol.10 , pp. 1455-1480
    • Girosi, F.1
  • 12
    • 8644228268 scopus 로고    scopus 로고
    • Locality preserving projections
    • MIT Press, Vancouver, British Columbia, Canada
    • He X., Niyogi P. Locality preserving projections. Advances in Neural Information Processing Systems 2003, vol. 16. MIT Press, Vancouver, British Columbia, Canada.
    • (2003) Advances in Neural Information Processing Systems , vol.16
    • He, X.1    Niyogi, P.2
  • 13
    • 0035400784 scopus 로고    scopus 로고
    • Face recognition based on the uncorrelated discriminant transformation
    • Jin Z., Yang J.-Y., Hu Z.-S., Lou Z. Face recognition based on the uncorrelated discriminant transformation. Pattern Recognition 2001, 34(7):1405-1416.
    • (2001) Pattern Recognition , vol.34 , Issue.7 , pp. 1405-1416
    • Jin, Z.1    Yang, J.-Y.2    Hu, Z.-S.3    Lou, Z.4
  • 14
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines, in: I. Bratko, S. Dzeroski (Eds.), Proceedings of ICML-99, 16th International Conference on Machine Learning, Morgan Kaufmann Publishers, San Francisco, US, Bled, SL.
    • T. Joachims, Transductive inference for text classification using support vector machines, in: I. Bratko, S. Dzeroski (Eds.), Proceedings of ICML-99, 16th International Conference on Machine Learning, Morgan Kaufmann Publishers, San Francisco, US, Bled, SL, 1999, pp. 200-209.
    • (1999) , pp. 200-209
    • Joachims, T.1
  • 15
    • 33751562730 scopus 로고    scopus 로고
    • Face recognition using lda mixture model, in: International Conference on Pattern Recognition.
    • H.C. Kim, D. Kim, S.Y. Bang, Face recognition using lda mixture model, in: International Conference on Pattern Recognition, vol. 2, 2002, p. 20486.
    • (2002) , vol.2 , pp. 20486
    • Kim, H.C.1    Kim, D.2    Bang, S.Y.3
  • 16
    • 0034300875 scopus 로고    scopus 로고
    • A new lda-based facerecognition system which can solve the small sample size problem
    • Li-Fen Chen M.-T.K.J.-C.L., Mark Liao H.-Y., Yu G.-J. A new lda-based facerecognition system which can solve the small sample size problem. Pattern Recognition 2000, 33(10):1713-1726.
    • (2000) Pattern Recognition , vol.33 , Issue.10 , pp. 1713-1726
    • Li-Fen Chen, M.-T.K.J.-C.L.1    Mark Liao, H.-Y.2    Yu, G.-J.3
  • 18
    • 0033337021 scopus 로고    scopus 로고
    • Fisher discriminant analysis with kernels, in: Neural Networks for Signal Processing IX, 1999, Proceedings of the 1999 IEEE Signal Processing Society Workshop.
    • S. Mika, G. Ratsch, J. Weston, B. Scholkopf, K.R. Mullers, Fisher discriminant analysis with kernels, in: Neural Networks for Signal Processing IX, 1999, Proceedings of the 1999 IEEE Signal Processing Society Workshop, 1999, pp. 41-48.
    • (1999) , pp. 41-48
    • Mika, S.1    Ratsch, G.2    Weston, J.3    Scholkopf, B.4    Mullers, K.R.5
  • 19
    • 84899018574 scopus 로고    scopus 로고
    • Invariant feature extraction and classification in kernel spaces, in: NIPS.
    • S. Mika, G. Rätsch, J. Weston, B. Schölkopf, A.J. Smola, K.-R. Müller, Invariant feature extraction and classification in kernel spaces, in: NIPS, 1999, pp. 526-532.
    • (1999) , pp. 526-532
    • Mika, S.1    Rätsch, G.2    Weston, J.3    Schölkopf, B.4    Smola, A.J.5    Müller, K.R.6
  • 20
    • 77952542478 scopus 로고    scopus 로고
    • Everything old is new again: a fresh look at historical approaches in machine learning. Ph.D. Thesis, MIT.
    • R.M. Rifkin, Everything old is new again: a fresh look at historical approaches in machine learning. Ph.D. Thesis, MIT, 2002.
    • (2002)
    • Rifkin, R.M.1
  • 21
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis S.T., Saul L.K. Nonlinear dimensionality reduction by locally linear embedding. Science 2000, 290(5500):2323-2326.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 22
    • 84865131152 scopus 로고    scopus 로고
    • A generalized representer theorem, Lecture Notes in Computer Science 2111/2001
    • B. Schölkopf, R. Herbrich, A. Smola, A generalized representer theorem, Lecture Notes in Computer Science 2111/2001 (2001) 416-426.
    • (2001) , pp. 416-426
    • Schölkopf, B.1    Herbrich, R.2    Smola, A.3
  • 24
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum J.B., de Silva V., Langford J.C. A global geometric framework for nonlinear dimensionality reduction. Science 2000, 290(5500):2319-2323.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3
  • 25
    • 85162047720 scopus 로고    scopus 로고
    • A Bayesian lda-based model for semi-supervised part-of-speech tagging
    • MIT Press, Cambridge, MA
    • Toutanova K., Johnson M. A Bayesian lda-based model for semi-supervised part-of-speech tagging. Advances in Neural Information Processing Systems 2008, vol. 20:1521-1528. MIT Press, Cambridge, MA.
    • (2008) Advances in Neural Information Processing Systems , vol.20 , pp. 1521-1528
    • Toutanova, K.1    Johnson, M.2
  • 27
    • 77952544229 scopus 로고
    • Spline models for observational data, volume 59 of CBMS-NSF Regional Conference Series in Applied Mathematics, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA.
    • G. Wahba, Spline models for observational data, volume 59 of CBMS-NSF Regional Conference Series in Applied Mathematics, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 1990.
    • (1990)
    • Wahba, G.1
  • 28
    • 33750327222 scopus 로고    scopus 로고
    • Lda-based document models for ad-hoc retrieval, in: SIGIR '06: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM Press, New York, NY, USA.
    • X. Wei, B.W. Croft, Lda-based document models for ad-hoc retrieval, in: SIGIR '06: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM Press, New York, NY, USA, 2006, pp. 178-185.
    • (2006) , pp. 178-185
    • Wei, X.1    Croft, B.W.2
  • 29
    • 67649880294 scopus 로고    scopus 로고
    • Semi-supervised bilinear subspace learning, IEEE Transactions on Image Processing 18
    • D. Xu, Y. Shuicheng, Semi-supervised bilinear subspace learning, IEEE Transactions on Image Processing 18 (7) (2009) 1671-1676.
    • (2009) , Issue.7 , pp. 1671-1676
    • Xu, D.1    Shuicheng, Y.2
  • 30
    • 51649109792 scopus 로고    scopus 로고
    • Discriminatively regularized least-squares classification
    • Xue H., Chen S., Yang Q. Discriminatively regularized least-squares classification. Pattern Recognition 2009, 42(1):93-104.
    • (2009) Pattern Recognition , vol.42 , Issue.1 , pp. 93-104
    • Xue, H.1    Chen, S.2    Yang, Q.3
  • 31
    • 24644478682 scopus 로고    scopus 로고
    • Graph embedding: a general framework for dimensionality reduction, in: CVPR '05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), vol. 2, IEEE Computer Society, Washington, DC, USA.
    • S. Yan, D. Xu, B. Zhang, H.-J. Zhang, Graph embedding: a general framework for dimensionality reduction, in: CVPR '05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), vol. 2, IEEE Computer Society, Washington, DC, USA, 2005, pp. 830-837.
    • (2005) , pp. 830-837
    • Yan, S.1    Xu, D.2    Zhang, B.3    Zhang, H.J.4
  • 32
    • 72449143147 scopus 로고    scopus 로고
    • Ranking with local regression and global alignment for cross media retrieval, in: MM '09: Proceedings of the Seventeen ACM International Conference on Multimedia, ACM, New York, NY, USA.
    • Y. Yang, D. Xu, F. Nie, J. Luo, Y. Zhuang, Ranking with local regression and global alignment for cross media retrieval, in: MM '09: Proceedings of the Seventeen ACM International Conference on Multimedia, ACM, New York, NY, USA, 2009, pp. 175-184.
    • (2009) , pp. 175-184
    • Yang, Y.1    Xu, D.2    Nie, F.3    Luo, J.4    Zhuang, Y.5
  • 33
    • 72449133836 scopus 로고    scopus 로고
    • Retrieval based interactive cartoon synthesis via unsupervised bi-distance metric learning, in: MM '09: Proceedings of the Seventeen ACM International Conference on Multimedia, ACM, New York, NY, USA.
    • Y. Yang, Y. Zhuang, D. Xu, Y. Pan, D. Tao, S. Maybank, Retrieval based interactive cartoon synthesis via unsupervised bi-distance metric learning, in: MM '09: Proceedings of the Seventeen ACM International Conference on Multimedia, ACM, New York, NY, USA, 2009, pp. 311-320.
    • (2009) , pp. 311-320
    • Yang, Y.1    Zhuang, Y.2    Xu, D.3    Pan, Y.4    Tao, D.5    Maybank, S.6
  • 35
    • 70349404898 scopus 로고    scopus 로고
    • Heterogeneous multimedia data semantics mining using content and location context, in: MM '08: Proceeding of the 16th ACM International Conference on Multimedia, ACM, New York, NY, USA.
    • Y. Yang, Y. Zhuang, W. Wang, Heterogeneous multimedia data semantics mining using content and location context, in: MM '08: Proceeding of the 16th ACM International Conference on Multimedia, ACM, New York, NY, USA, 2008, pp. 655-658.
    • (2008) , pp. 655-658
    • Yang, Y.1    Zhuang, Y.2    Wang, W.3
  • 36
    • 56749105615 scopus 로고    scopus 로고
    • Discriminative locality alignment
    • Zhang T., Tao D., Yang J. Discriminative locality alignment. ECCV 2008, 1:725-738.
    • (2008) ECCV , vol.1 , pp. 725-738
    • Zhang, T.1    Tao, D.2    Yang, J.3
  • 37
    • 14544307975 scopus 로고    scopus 로고
    • Principal manifolds and nonlinear dimension reduction via local tangent space alignment
    • Zhang Z., Zha H. Principal manifolds and nonlinear dimension reduction via local tangent space alignment. SIAM Journal of Scientific Computing 2002, 26:313-338.
    • (2002) SIAM Journal of Scientific Computing , vol.26 , pp. 313-338
    • Zhang, Z.1    Zha, H.2
  • 38
    • 84899006908 scopus 로고    scopus 로고
    • Learning with local and global consistency, in: Advances in Neural Information Processing Systems.
    • D. Zhou, O. Bousquet, T.N. Lal, J. Weston, B. Schölkopf, Learning with local and global consistency, in: Advances in Neural Information Processing Systems, vol. 16, 2004.
    • (2004) , vol.16
    • Zhou, D.1    Bousquet, O.2    Lal, T.N.3    Weston, J.4    Schölkopf, B.5
  • 39
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • AAAI Press, Washington, DC USA, T. Fawcett, N. Mishra, T. Fawcett, N. Mishra (Eds.)
    • Zhu X., Ghahramani Z., Lafferty J.D. Semi-supervised learning using gaussian fields and harmonic functions. ICML 2003, 912-919. AAAI Press, Washington, DC USA. T. Fawcett, N. Mishra, T. Fawcett, N. Mishra (Eds.).
    • (2003) ICML , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.D.3
  • 40
    • 77952543538 scopus 로고    scopus 로고
    • Web site of umist multi-view face database, Image Engineering and Neural Computing Lab, UMIST, UK.
    • D. Graham, N. Allinson, Web site of umist multi-view face database, Image Engineering and Neural Computing Lab, UMIST, UK, 1998. http://images.ee.umist.ac.uk/danny/database.html.
    • (1998)
    • Graham, D.1    Allinson, N.2
  • 41
    • 77952550075 scopus 로고    scopus 로고
    • Columbia object image library (COIL-20), Technical Report CUCS-005-96, February.
    • S.A. Nene, S.K. Nayar, H. Murase, Columbia object image library (COIL-20), Technical Report CUCS-005-96, February, 1996.
    • (1996)
    • Nene, S.A.1    Nayar, S.K.2    Murase, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.