메뉴 건너뛰기




Volumn 24, Issue 9-10, 2003, Pages 1409-1415

An improved sequential method for principal component analysis

Author keywords

Cascade recursive least squares (CRLS); Principal component analysis; Vector orthogonalization by subspace deflation

Indexed keywords

COMPUTER SIMULATION; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS;

EID: 0037410764     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(02)00381-1     Document Type: Article
Times cited : (13)

References (9)
  • 1
    • 0027575395 scopus 로고
    • Neural model for Karhunen-Loéve transform with application to adaptive image compression
    • Abbas, H.M., Fahmy, M.M., 1994. Neural model for Karhunen-Loéve transform with application to adaptive image compression. IEE Proc. I, Commun. Speech Vision, 140 (2), 135-143.
    • (1994) IEE Proc. I, Commun. Speech Vision , vol.140 , Issue.2 , pp. 135-143
    • Abbas, H.M.1    Fahmy, M.M.2
  • 2
    • 0029267855 scopus 로고
    • Principal component extraction using recursive least squares learning
    • Bannour, S., Azimi-Sadjadi, M.R. 1995. Principal component extraction using recursive least squares learning. IEEE Trans. Neural Networks, 6, 457-469.
    • (1995) IEEE Trans. Neural Networks , vol.6 , pp. 457-469
    • Bannour, S.1    Azimi-Sadjadi, M.R.2
  • 3
    • 0000217512 scopus 로고    scopus 로고
    • Adaptive learning algorithm for principal component analysis with partial data
    • Cichocki, A., Kasprzak, W., Skarbek, W., 1996. Adaptive learning algorithm for principal component analysis with partial data. Proc. Cybernetics Syst. 2, 1014-1019.
    • (1996) Proc. Cybernetics Syst. , vol.2 , pp. 1014-1019
    • Cichocki, A.1    Kasprzak, W.2    Skarbek, W.3
  • 4
    • 0035419994 scopus 로고    scopus 로고
    • Image compression using principal component neural networks
    • Costa, S., Fiori, S., 2001. Image compression using principal component neural networks. Image and Vision Comput. 19, 649-668.
    • (2001) Image and Vision Comput. , vol.19 , pp. 649-668
    • Costa, S.1    Fiori, S.2
  • 6
    • 0034262701 scopus 로고    scopus 로고
    • A general class of ψ-APEX PCA neural algorithms
    • Fiori, S., Piazza, F., 2000. A general class of ψ-APEX PCA neural algorithms. IEEE Trans. Circuits and Systems-Part I, 47 (9), 1394-1398.
    • (2000) IEEE Trans. Circuits and Systems-Part I , vol.47 , Issue.9 , pp. 1394-1398
    • Fiori, S.1    Piazza, F.2
  • 7
    • 0002399288 scopus 로고
    • Neural networks, principal components, and subspaces
    • Oja, E. 1989. Neural networks, principal components, and subspaces. Int. J. Neural Systems 1, 61-68.
    • (1989) Int. J. Neural Systems , vol.1 , pp. 61-68
    • Oja, E.1
  • 9
    • 0033729891 scopus 로고    scopus 로고
    • A practical sequential method for principal component analysis
    • Wong, A.S., Wong, K.W., Leung, C.S., 2000. A practical sequential method for principal component analysis. Neural Process. Lett., 11, 107-112.
    • (2000) Neural Process. Lett. , vol.11 , pp. 107-112
    • Wong, A.S.Y.1    Wong, K.W.2    Leung, C.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.