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Volumn 37, Issue 10, 2004, Pages 1999-2008

Classifying non-uniformly sampled vector-valued curves

Author keywords

Classification; Derivative analysis; Missing data; Non uniform sampling; Sensor faults; Smooth functional principal components; Vector valued curves

Indexed keywords

CURVE FITTING; DATA REDUCTION; IMAGING TECHNIQUES; OBJECT RECOGNITION; PATTERN MATCHING; PRINCIPAL COMPONENT ANALYSIS; TIME VARYING NETWORKS; VECTORS;

EID: 4544344074     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2004.01.018     Document Type: Article
Times cited : (5)

References (24)
  • 1
    • 0035252777 scopus 로고    scopus 로고
    • A functional data-analytic approach to signal discrimination
    • Hall P., Poskitt D.S., Presnell B. A functional data-analytic approach to signal discrimination. Technometrics. 43:2001;1-9.
    • (2001) Technometrics , vol.43 , pp. 1-9
    • Hall, P.1    Poskitt, D.S.2    Presnell, B.3
  • 2
    • 0032031368 scopus 로고    scopus 로고
    • Multivariate auto-regressive models for classification of spontaneous electroencephalographic signals during mental tasks
    • Anderson C.W., Stolz E.A., Shamsunder S. Multivariate auto-regressive models for classification of spontaneous electroencephalographic signals during mental tasks. IEEE Trans. Biomed. Eng. 45:1998;277-286.
    • (1998) IEEE Trans. Biomed. Eng. , vol.45 , pp. 277-286
    • Anderson, C.W.1    Stolz, E.A.2    Shamsunder, S.3
  • 3
    • 0033639481 scopus 로고    scopus 로고
    • Automatic detection and classifying defects during eddy current inspection of riveted lap-joints
    • Lingwall F., Sepinski T. Automatic detection and classifying defects during eddy current inspection of riveted lap-joints. Non-destr. Test. Evaluation. 33:2000;47-55.
    • (2000) Non-destr. Test. Evaluation , vol.33 , pp. 47-55
    • Lingwall, F.1    Sepinski, T.2
  • 4
    • 0035481767 scopus 로고    scopus 로고
    • Automatic gait recognition via statistical approaches for extended template features
    • Huang P.S. Automatic gait recognition via statistical approaches for extended template features. IEEE Trans. Syst., Man Cybern. B. 31:2001;818-824.
    • (2001) IEEE Trans. Syst., Man Cybern. B , vol.31 , pp. 818-824
    • Huang, P.S.1
  • 5
    • 21844512674 scopus 로고
    • Discriminant analysis with singular covariance matrices: Methods and applications to spectroscopic data
    • Krzanowski W.J., Jonathan P., McCarthy M.V., Thomas M.R. Discriminant analysis with singular covariance matrices methods and applications to spectroscopic data. J. R. Statist. Soc. C. 44:1995;101-116.
    • (1995) J. R. Statist. Soc. C , vol.44 , pp. 101-116
    • Krzanowski, W.J.1    Jonathan, P.2    Mccarthy, M.V.3    Thomas, M.R.4
  • 6
    • 84970908898 scopus 로고
    • Karhunen-Loéve procedure for gappy data
    • Everson R., Sirovich L. Karhunen-Loéve procedure for gappy data. J. Opt. Soc. America A. 12:1995;1657-1664.
    • (1995) J. Opt. Soc. America A , vol.12 , pp. 1657-1664
    • Everson, R.1    Sirovich, L.2
  • 7
    • 0022806525 scopus 로고
    • Principal modes of variation for processes with continuous sample curves
    • Castro P.E., Lawton W.H., Sylvestre E.A. Principal modes of variation for processes with continuous sample curves. Technometrics. 28:1986;329-337.
    • (1986) Technometrics , vol.28 , pp. 329-337
    • Castro, P.E.1    Lawton, W.H.2    Sylvestre, E.A.3
  • 8
    • 0001597980 scopus 로고
    • Estimating the mean and covariance structure non-parametrically when the data are curves
    • Rice J.A., Silverman B.W. Estimating the mean and covariance structure non-parametrically when the data are curves. J. R. Statist. Soc. B. 53:1991;233-243.
    • (1991) J. R. Statist. Soc. B , vol.53 , pp. 233-243
    • Rice, J.A.1    Silverman, B.W.2
  • 9
    • 0038329316 scopus 로고    scopus 로고
    • Shape classification using smooth principal components
    • Glendinning R.H., Herbert R.A. Shape classification using smooth principal components. Pattern Recognition Lett. 24:2003;2021-2030.
    • (2003) Pattern Recognition Lett. , vol.24 , pp. 2021-2030
    • Glendinning, R.H.1    Herbert, R.A.2
  • 10
    • 0035329992 scopus 로고    scopus 로고
    • Derivation of function space analysis based PCA control charts for batch process monitoring
    • Chen J., Liu J. Derivation of function space analysis based PCA control charts for batch process monitoring. Chem. Eng. Sci. 56:2001;3289-3304.
    • (2001) Chem. Eng. Sci. , vol.56 , pp. 3289-3304
    • Chen, J.1    Liu, J.2
  • 11
    • 0027680376 scopus 로고
    • Multiscale Fourier descriptors for classifying semivowels in spectrograms
    • Pinkowski B. Multiscale Fourier descriptors for classifying semivowels in spectrograms. Pattern Recognition. 26:1993;1592-1602.
    • (1993) Pattern Recognition , vol.26 , pp. 1592-1602
    • Pinkowski, B.1
  • 13
    • 0001699048 scopus 로고    scopus 로고
    • Principal component models for sparse functional data
    • James G.M., Hastie T.J., Sugar C.A. Principal component models for sparse functional data. Biometrika. 87:2000;587-602.
    • (2000) Biometrika , vol.87 , pp. 587-602
    • James, G.M.1    Hastie, T.J.2    Sugar, C.A.3
  • 14
    • 1542678851 scopus 로고    scopus 로고
    • Inference for density families using functional principal component analysis
    • Kneip A., Utikal K.J. Inference for density families using functional principal component analysis. J. Amer. Statist. Assoc. 96:2001;519-542.
    • (2001) J. Amer. Statist. Assoc. , vol.96 , pp. 519-542
    • Kneip, A.1    Utikal, K.J.2
  • 15
    • 0001469917 scopus 로고    scopus 로고
    • Non-parametric estimation of smoothed principal components analysis of sampled noisy functions
    • Cardot H. Non-parametric estimation of smoothed principal components analysis of sampled noisy functions. J. Non-parametric Statist. 12:2000;503-538.
    • (2000) J. Non-parametric Statist. , vol.12 , pp. 503-538
    • Cardot, H.1
  • 16
    • 0030537857 scopus 로고    scopus 로고
    • Smooth functional principal components by choice of norm
    • Silverman B.W. Smooth functional principal components by choice of norm. Ann. Statist. 24:1996;1-24.
    • (1996) Ann. Statist. , vol.24 , pp. 1-24
    • Silverman, B.W.1
  • 17
    • 0001501999 scopus 로고
    • Some tools for functional data analysis (with discussion)
    • Ramsay J.O., Dalzell C.J. Some tools for functional data analysis (with discussion). J. R. Statist. Soc. B. 53:1991;539-572.
    • (1991) J. R. Statist. Soc. B , vol.53 , pp. 539-572
    • Ramsay, J.O.1    Dalzell, C.J.2
  • 18
    • 0041734973 scopus 로고    scopus 로고
    • Functional principal components analysis by choice of norm
    • Ocana F.A., Aguilera A.M., Valderrama M.J. Functional principal components analysis by choice of norm. J. Mult. Anal. 71:1999;262-278.
    • (1999) J. Mult. Anal. , vol.71 , pp. 262-278
    • Ocana, F.A.1    Aguilera, A.M.2    Valderrama, M.J.3
  • 19
    • 0001510664 scopus 로고    scopus 로고
    • Principal differential analysis: Data reduction by differential operators
    • Ramsay J.O. Principal differential analysis data reduction by differential operators. J. R. Statist. Soc. B. 58:1996;495-508.
    • (1996) J. R. Statist. Soc. B , vol.58 , pp. 495-508
    • Ramsay, J.O.1
  • 21
    • 0029250758 scopus 로고
    • An experimental comparison of auto-regressive and Fourier based descriptors in 2D shape classification
    • Kauppinen H., Seppänen T., Pietikäinen M. An experimental comparison of auto-regressive and Fourier based descriptors in 2D shape classification. IEEE Trans. Pattern Anal. Mach. Intel. 17:1995;201-207.
    • (1995) IEEE Trans. Pattern Anal. Mach. Intel. , vol.17 , pp. 201-207
    • Kauppinen, H.1    Seppänen, T.2    Pietikäinen, M.3
  • 22
    • 0026826863 scopus 로고
    • Non-stationary auto-regressive modelling of object contours
    • Paulik M.J., Das M., Loh N.K. Non-stationary auto-regressive modelling of object contours. IEEE Trans. Signal Proc. 40:1992;660-675.
    • (1992) IEEE Trans. Signal Proc. , vol.40 , pp. 660-675
    • Paulik, M.J.1    Das, M.2    Loh, N.K.3
  • 23
    • 0031996127 scopus 로고    scopus 로고
    • Shape representation using spectral features
    • Eom K.-B. Shape representation using spectral features. Pattern Recognition Lett. 19:1998;189-195.
    • (1998) Pattern Recognition Lett. , vol.19 , pp. 189-195
    • Eom, K.-B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.