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Volumn 138, Issue , 2014, Pages 310-315

A subset method for improving Linear Discriminant Analysis

Author keywords

Dimension reduction; Graph cut; Linear discriminant analysis; Subset

Indexed keywords

CLASSIFICATION (OF INFORMATION); GRAPHIC METHODS;

EID: 84899973391     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.02.004     Document Type: Article
Times cited : (30)

References (24)
  • 2
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher R. The use of multiple measurements in taxonomic problems. Ann. Hum. Genet. 1936, 7(2):179-188.
    • (1936) Ann. Hum. Genet. , vol.7 , Issue.2 , pp. 179-188
    • Fisher, R.1
  • 3
    • 0001565436 scopus 로고
    • The utilization of multiple measurements in problems of biological classification
    • Rao C. The utilization of multiple measurements in problems of biological classification. J. R. Stat. Soc. Ser. B: Methodol. 1948, 10(2):159-203.
    • (1948) J. R. Stat. Soc. Ser. B: Methodol. , vol.10 , Issue.2 , pp. 159-203
    • Rao, C.1
  • 4
    • 80052075897 scopus 로고    scopus 로고
    • Rejection measurement based on linear discriminant analysis for document recognition
    • He C.L., Lam L., Suen C.Y. Rejection measurement based on linear discriminant analysis for document recognition. Int. J. Doc. Anal. Recognit. (IJDAR) 2011, 14(3):263-272.
    • (2011) Int. J. Doc. Anal. Recognit. (IJDAR) , vol.14 , Issue.3 , pp. 263-272
    • He, C.L.1    Lam, L.2    Suen, C.Y.3
  • 5
    • 35648979924 scopus 로고    scopus 로고
    • A parameterized direct LDA and its application to face recognition
    • Song F., Zhang D., Wang J., Liu H., Tao Q. A parameterized direct LDA and its application to face recognition. Neurocomputing 2007, 71(1):191-196.
    • (2007) Neurocomputing , vol.71 , Issue.1 , pp. 191-196
    • Song, F.1    Zhang, D.2    Wang, J.3    Liu, H.4    Tao, Q.5
  • 6
    • 37549070399 scopus 로고    scopus 로고
    • Learning a maximum margin subspace for image retrieval
    • He X., Cai D., Han J. Learning a maximum margin subspace for image retrieval. IEEE Trans. Knowl. Data Eng. 2008, 20(2):189-201.
    • (2008) IEEE Trans. Knowl. Data Eng. , vol.20 , Issue.2 , pp. 189-201
    • He, X.1    Cai, D.2    Han, J.3
  • 7
    • 14744274588 scopus 로고    scopus 로고
    • Using uncorrelated discriminant analysis for tissue classification with gene expression data
    • Ye J., Li T., Xiong T., Janardan R. Using uncorrelated discriminant analysis for tissue classification with gene expression data. IEEE/ACM Trans. Comput. Biol. Bioinform. (TCBB) 2004, 1(4):181-190.
    • (2004) IEEE/ACM Trans. Comput. Biol. Bioinform. (TCBB) , vol.1 , Issue.4 , pp. 181-190
    • Ye, J.1    Li, T.2    Xiong, T.3    Janardan, R.4
  • 9
    • 0035393361 scopus 로고    scopus 로고
    • Multiclass linear dimension reduction by weighted pairwise fisher criteria
    • Loog M., Duin R., Haeb-Umbach R. Multiclass linear dimension reduction by weighted pairwise fisher criteria. IEEE Trans. Pattern Anal. Mach. Intell. 2001, 23(7):762-766.
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.7 , pp. 762-766
    • Loog, M.1    Duin, R.2    Haeb-Umbach, R.3
  • 10
    • 79953054794 scopus 로고    scopus 로고
    • Max-min distance analysis by using sequential SDP relaxation for dimension reduction
    • Bian W., Tao D. Max-min distance analysis by using sequential SDP relaxation for dimension reduction. IEEE Trans. Pattern Anal. Mach. Intell. 2011, 33(5):1037-1050.
    • (2011) IEEE Trans. Pattern Anal. Mach. Intell. , vol.33 , Issue.5 , pp. 1037-1050
    • Bian, W.1    Tao, D.2
  • 11
    • 84899948816 scopus 로고
    • Discrimination, allocatory and separatory, linear aspects, Technical Reports, DTIC Document
    • S. Geisser, Discrimination, allocatory and separatory, linear aspects, Technical Reports, DTIC Document, 1976.
    • (1976)
    • Geisser, S.1
  • 12
    • 42449101064 scopus 로고
    • Linear discrimination for three known normal populations
    • Schervish M. Linear discrimination for three known normal populations. J. Stat. Plan. Inference 1984, 10(2):167-175.
    • (1984) J. Stat. Plan. Inference , vol.10 , Issue.2 , pp. 167-175
    • Schervish, M.1
  • 15
    • 0027697605 scopus 로고
    • An optimal graph theoretic approach to data clustering. theory and its application to image segmentation
    • Wu Z., Leahy R. An optimal graph theoretic approach to data clustering. theory and its application to image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 1993, 15(11):1101-1113.
    • (1993) IEEE Trans. Pattern Anal. Mach. Intell. , vol.15 , Issue.11 , pp. 1101-1113
    • Wu, Z.1    Leahy, R.2
  • 18
    • 84866013178 scopus 로고    scopus 로고
    • Online and offline handwritten chinese character recognition. benchmarking on new databases
    • Liu C.-L., Yin F., Wang D.-H., Wang Q.-F. Online and offline handwritten chinese character recognition. benchmarking on new databases. Pattern Recognit. 2013, 46(1):155-162.
    • (2013) Pattern Recognit. , vol.46 , Issue.1 , pp. 155-162
    • Liu, C.-L.1    Yin, F.2    Wang, D.-H.3    Wang, Q.-F.4
  • 19
    • 30144436546 scopus 로고    scopus 로고
    • Where are linear feature extraction methods applicable?
    • Martinez A.M., Zhu M. Where are linear feature extraction methods applicable?. IEEE Trans. Pattern Anal. Mach. Intell. 2005, 27(12):1934-1944.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.12 , pp. 1934-1944
    • Martinez, A.M.1    Zhu, M.2
  • 20
    • 70349653824 scopus 로고    scopus 로고
    • Efficient classification for large-scale problems by multiple lda subspaces, in: VISAPP
    • M. Uray, P.M. Roth, H. Bischof, Efficient classification for large-scale problems by multiple lda subspaces, in: VISAPP (1), 2009, pp. 299-306.
    • (2009) , Issue.1 , pp. 299-306
    • Uray, M.1    Roth, P.M.2    Bischof, H.3
  • 21
    • 84899933409 scopus 로고    scopus 로고
    • UCI machine learning repository.
    • A. Frank, A. Asuncion, UCI machine learning repository. 2010. http://archive.ics.uci.edu/ml.
    • (2010)
    • Frank, A.1    Asuncion, A.2
  • 22
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Lecun Y., Bottou L., Bengio Y., Haffner P. Gradient-based learning applied to document recognition. Proc. IEEE 1998, 86(11):2278-2324. 10.1109/5.726791.
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 23
    • 0242539897 scopus 로고    scopus 로고
    • Handwritten digit recognition. investigation of normalization and feature extraction techniques
    • Liu C., Nakashima K., Sako H., Fujisawa H. Handwritten digit recognition. investigation of normalization and feature extraction techniques. Pattern Recognit. 2004, 37(2):265-279.
    • (2004) Pattern Recognit. , vol.37 , Issue.2 , pp. 265-279
    • Liu, C.1    Nakashima, K.2    Sako, H.3    Fujisawa, H.4
  • 24
    • 84890399408 scopus 로고    scopus 로고
    • Enhanced computer vision with Microsoft Kinect sensor: a review
    • Han J., Shao L., Xu D., Shotton J. Enhanced computer vision with Microsoft Kinect sensor: a review. IEEE Trans. Cybernetics 2013, 43(5):1318-1334.
    • (2013) IEEE Trans. Cybernetics , vol.43 , Issue.5 , pp. 1318-1334
    • Han, J.1    Shao, L.2    Xu, D.3    Shotton, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.