메뉴 건너뛰기




Volumn 29, Issue 7, 2008, Pages 878-887

On applying linear discriminant analysis for multi-labeled problems

Author keywords

Dimension reduction; Linear discriminant analysis; Multi labeled problems; Text categorization

Indexed keywords

ALGORITHMS; COMPUTATIONAL EFFICIENCY; LINEAR EQUATIONS; PROBLEM SOLVING;

EID: 40849120440     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.01.003     Document Type: Article
Times cited : (54)

References (22)
  • 1
    • 0031185845 scopus 로고    scopus 로고
    • Eigenfaces v.s. fisherfaces: Recognition using class specific linear projection
    • Belhumeur P., Hespanha J., and Kriegman D. Eigenfaces v.s. fisherfaces: Recognition using class specific linear projection. IEEE Trans. Pattern Anal. Machine Learn. 19 7 (1997) 711-720
    • (1997) IEEE Trans. Pattern Anal. Machine Learn. , vol.19 , Issue.7 , pp. 711-720
    • Belhumeur, P.1    Hespanha, J.2    Kriegman, D.3
  • 2
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition system which can solve the small sample size problem
    • Chen L., Liao H., Ko M., Lin J., and Yu G. A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recognition 33 (2000) 1713-1726
    • (2000) Pattern Recognition , vol.33 , pp. 1713-1726
    • Chen, L.1    Liao, H.2    Ko, M.3    Lin, J.4    Yu, G.5
  • 3
    • 40849105385 scopus 로고    scopus 로고
    • Elisseeff, A., Weston, J., 2001. Kernel methods for multi-labelled classification and categorical regression problems. Technical Report, BIOwulf Technologies ().
    • Elisseeff, A., Weston, J., 2001. Kernel methods for multi-labelled classification and categorical regression problems. Technical Report, BIOwulf Technologies ().
  • 4
    • 76649137444 scopus 로고    scopus 로고
    • A kernel method for multi-labelled classification
    • Elisseeff A., and Weston J. A kernel method for multi-labelled classification. Adv. Neural Inf. Process. Syst. 14 (2002) 681-687
    • (2002) Adv. Neural Inf. Process. Syst. , vol.14 , pp. 681-687
    • Elisseeff, A.1    Weston, J.2
  • 5
    • 84887916087 scopus 로고
    • Regularized discriminant analysis
    • Friedman J. Regularized discriminant analysis. J. Amer. Statist. Assoc. 84 405 (1989) 165-175
    • (1989) J. Amer. Statist. Assoc. , vol.84 , Issue.405 , pp. 165-175
    • Friedman, J.1
  • 7
    • 40849121100 scopus 로고    scopus 로고
    • Godbole, S., Sarawagi, S., 2004. Discriminative methods for multi-labeled classification. In: PAKDD 2004.
    • Godbole, S., Sarawagi, S., 2004. Discriminative methods for multi-labeled classification. In: PAKDD 2004.
  • 9
    • 3242707002 scopus 로고    scopus 로고
    • Generalizing discriminant analysis using the generalized singular value decomposition
    • Howland P., and Park H. Generalizing discriminant analysis using the generalized singular value decomposition. IEEE Trans. Pattern Anal. Machine Intell. 26 8 (2004) 995-1006
    • (2004) IEEE Trans. Pattern Anal. Machine Intell. , vol.26 , Issue.8 , pp. 995-1006
    • Howland, P.1    Park, H.2
  • 11
    • 84876811202 scopus 로고    scopus 로고
    • Rcv1: A new benchmark collection for text categorization research
    • Lewis D., Yang Y., Rose T., and Li F. Rcv1: A new benchmark collection for text categorization research. J. Machine Learn. Res. 5 (2004) 361-397
    • (2004) J. Machine Learn. Res. , vol.5 , pp. 361-397
    • Lewis, D.1    Yang, Y.2    Rose, T.3    Li, F.4
  • 12
    • 40849086767 scopus 로고    scopus 로고
    • Luo, X., Zincir-Heywood, N., 2005. Evaluation of two systems on multi-class multi-label document classification. In: ISMIS05, New York, USA.
    • Luo, X., Zincir-Heywood, N., 2005. Evaluation of two systems on multi-class multi-label document classification. In: ISMIS05, New York, USA.
  • 13
    • 0036166439 scopus 로고    scopus 로고
    • Tumor classification by partial least squares using microarray gene expression data
    • Nguyen D., and Rocke D. Tumor classification by partial least squares using microarray gene expression data. Bioinformatics 18 1 (2002) 39-50
    • (2002) Bioinformatics , vol.18 , Issue.1 , pp. 39-50
    • Nguyen, D.1    Rocke, D.2
  • 14
    • 40849098999 scopus 로고    scopus 로고
    • Pavlidis, P., Weston, J., Cai, J., Grundy, W., 2001. Combining microarray expression data and phylogenetic profiles to learn functional categories using support vector machines. In: Proc. 5th Annual Internat. Conf. on Computational Biology, Montreal, Canada.
    • Pavlidis, P., Weston, J., Cai, J., Grundy, W., 2001. Combining microarray expression data and phylogenetic profiles to learn functional categories using support vector machines. In: Proc. 5th Annual Internat. Conf. on Computational Biology, Montreal, Canada.
  • 15
    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based system for text categorization
    • Schapire R., and Singer Y. Boostexter: A boosting-based system for text categorization. Machine Learn. 39 (2000) 135-168
    • (2000) Machine Learn. , vol.39 , pp. 135-168
    • Schapire, R.1    Singer, Y.2
  • 16
    • 40849099000 scopus 로고    scopus 로고
    • Torkkola, K., 2001. Linear discriminant analysis in document classification. In: IEEE ICDM-2001 Workshop on Text Mining (TextDM'2001), San Jose, CA.
    • Torkkola, K., 2001. Linear discriminant analysis in document classification. In: IEEE ICDM-2001 Workshop on Text Mining (TextDM'2001), San Jose, CA.
  • 17
    • 0036487285 scopus 로고    scopus 로고
    • Why can LDA be performed in PCA transformed space?
    • Yang J., and Yang J.-Y. Why can LDA be performed in PCA transformed space?. Pattern Recognition 36 (2003) 563-566
    • (2003) Pattern Recognition , vol.36 , pp. 563-566
    • Yang, J.1    Yang, J.-Y.2
  • 18
    • 0001765951 scopus 로고    scopus 로고
    • A direct LDA algorithm for high-dimensional data - with application to face recognition
    • Yu H., and Yang J. A direct LDA algorithm for high-dimensional data - with application to face recognition. Pattern Recognition 34 (2001) 2067-2070
    • (2001) Pattern Recognition , vol.34 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
  • 19
    • 84885640929 scopus 로고    scopus 로고
    • Yu, K., Yu, S., Tresp, V., 2005. Multi-label informed latent semantic indexing. In: SIGIR'05, Salvador, Brazil.
    • Yu, K., Yu, S., Tresp, V., 2005. Multi-label informed latent semantic indexing. In: SIGIR'05, Salvador, Brazil.
  • 20
    • 40849146030 scopus 로고    scopus 로고
    • Zhang, M., Zhou, Z., 2005. A k-nearest neighbor based algorithm for multi-label classification. In: 2005 IEEE Internat. Conf. on Granular Computing.
    • Zhang, M., Zhou, Z., 2005. A k-nearest neighbor based algorithm for multi-label classification. In: 2005 IEEE Internat. Conf. on Granular Computing.
  • 21
    • 10044224426 scopus 로고    scopus 로고
    • Zheng, W., Zou, C., Zhao, L., 2004. Real-time face recognition using Gram-Schmidt orthogonalization for LDA. In: Proc. 17th Internat. Conf. Pattern Recognition.
    • Zheng, W., Zou, C., Zhao, L., 2004. Real-time face recognition using Gram-Schmidt orthogonalization for LDA. In: Proc. 17th Internat. Conf. Pattern Recognition.
  • 22
    • 84885572482 scopus 로고    scopus 로고
    • Zhu, S., Ji, X., Xu, W., Gong, Y., 2005. Multi-labelled classification using maximum entropy method. In: SIGIR 05, Salvador, Brazil.
    • Zhu, S., Ji, X., Xu, W., Gong, Y., 2005. Multi-labelled classification using maximum entropy method. In: SIGIR 05, Salvador, Brazil.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.