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Volumn 52, Issue 10, 2008, Pages 4790-4800

Classification of functional data: A segmentation approach

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; FUNCTIONAL ANALYSIS; INFORMATION ANALYSIS; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

EID: 44349155319     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.03.024     Document Type: Article
Times cited : (49)

References (22)
  • 1
    • 0026966646 scopus 로고    scopus 로고
    • Boser, E., Guyon, M., Vapnik, V., 1992. A training algorithm for optimal margin classifiers, in: Proceedings of the Fifth ACM Workshop on Computational Learning Theory, Pittsburgh, PA, pp. 144-152
    • Boser, E., Guyon, M., Vapnik, V., 1992. A training algorithm for optimal margin classifiers, in: Proceedings of the Fifth ACM Workshop on Computational Learning Theory, Pittsburgh, PA, pp. 144-152
  • 2
    • 44349195723 scopus 로고    scopus 로고
    • Chang, C., Lin, C., 2001. LIBSVM: A library for support vector machines. Available at: http://www.csie.ntu.edu.tw/~cjlin/libsvm
    • Chang, C., Lin, C., 2001. LIBSVM: A library for support vector machines. Available at: http://www.csie.ntu.edu.tw/~cjlin/libsvm
  • 3
    • 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
  • 6
    • 0036185675 scopus 로고    scopus 로고
    • Functional mixed effects models
    • Guo W. Functional mixed effects models. Biometrics 58 (2002) 121-128
    • (2002) Biometrics , vol.58 , pp. 121-128
    • Guo, W.1
  • 7
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using SVM
    • Guyon I., Weston J., Barnhill S., and Vapnik V. Gene selection for cancer classification using SVM. Machine Learning 46 (2002) 389-422
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 8
    • 33747153005 scopus 로고    scopus 로고
    • Properties of principal component methods for functional and longitudinal data analysis
    • Hall P., Müller H.-G., and Wang J.-L. Properties of principal component methods for functional and longitudinal data analysis. The Annals of Statistics 34 (2006) 1493-1517
    • (2006) The Annals of Statistics , vol.34 , pp. 1493-1517
    • Hall, P.1    Müller, H.-G.2    Wang, J.-L.3
  • 11
    • 30344444303 scopus 로고    scopus 로고
    • Classification using functional data analysis for temporal gene expression data
    • Leng X., and Müller H.-G. Classification using functional data analysis for temporal gene expression data. Bioinformatics 22 (2006) 68-76
    • (2006) Bioinformatics , vol.22 , pp. 68-76
    • Leng, X.1    Müller, H.-G.2
  • 12
  • 16
    • 0001597980 scopus 로고
    • Estimating the mean and covariance structure nonparametrically when the data are curves
    • Rice J.A., and Silverman B.W. Estimating the mean and covariance structure nonparametrically when the data are curves. Journal of the Royal Statistical Society, Series B 53 (1991) 233-243
    • (1991) Journal of the Royal Statistical Society, Series B , vol.53 , pp. 233-243
    • Rice, J.A.1    Silverman, B.W.2
  • 17
    • 0035106736 scopus 로고    scopus 로고
    • Nonparametric mixed effects models for unequally sampled noisy curves
    • Rice J.A., and Wu C.O. Nonparametric mixed effects models for unequally sampled noisy curves. Biometrics 57 (2001) 253-259
    • (2001) Biometrics , vol.57 , pp. 253-259
    • Rice, J.A.1    Wu, C.O.2
  • 18
    • 32544451454 scopus 로고    scopus 로고
    • Support vector machine for functional data classification
    • Rossi F., and Villa N. Support vector machine for functional data classification. Neurocomputing 69 (2006) 730-742
    • (2006) Neurocomputing , vol.69 , pp. 730-742
    • Rossi, F.1    Villa, N.2
  • 21
    • 36249030001 scopus 로고    scopus 로고
    • Functional principal component analysis for longitudinal and survival data
    • Yao F. Functional principal component analysis for longitudinal and survival data. Statistica Sinica 17 (2007) 965-983
    • (2007) Statistica Sinica , vol.17 , pp. 965-983
    • Yao, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.