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Volumn 5, Issue 11, 1998, Pages 298-300

Generalized eigendecomposition with an on-line local algorithm

Author keywords

Generalized eigendecomposition; Linear discriminant analysis; Principal component analysis

Indexed keywords

COMPUTER SIMULATION; EIGENVALUES AND EIGENFUNCTIONS; LEARNING ALGORITHMS; STATISTICAL METHODS;

EID: 0032207039     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/97.728475     Document Type: Article
Times cited : (15)

References (12)
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    • 0020464111 scopus 로고
    • A simplified neuron model as a principal component analyzer
    • E. Oja. "A simplified neuron model as a principal component analyzer," J. Math, Biol., vol. 15, pp. 267-273, 1982.
    • (1982) J. Math, Biol. , vol.15 , pp. 267-273
    • Oja, E.1
  • 6
    • 0029270805 scopus 로고
    • Artificial neural networks for feature extraction and multivariate data projection
    • Mar.
    • J. Mao and A. K. Jain, "Artificial neural networks for feature extraction and multivariate data projection," IEEE Trans. Neural Networks, vol. 6, Mar. 1995.
    • (1995) IEEE Trans. Neural Networks , vol.6
    • Mao, J.1    Jain, A.K.2
  • 9
    • 0031623627 scopus 로고    scopus 로고
    • A principal component network for generalized eigen-decomposition
    • Anchorage, Alaska, May 4-9
    • D. Xu, J. C. Principe, and H.-C. Wu, "A principal component network for generalized eigen-decomposition," in Proc. 1998 Int. Conf. Neural Nerworks, Anchorage, Alaska, May 4-9, 1998, pp. 849-853.
    • (1998) Proc. 1998 Int. Conf. Neural Nerworks , pp. 849-853
    • Xu, D.1    Principe, J.C.2    Wu, H.-C.3
  • 10
    • 0028996410 scopus 로고
    • Blind source detection and separation using second order nonstationarity
    • Detroit, MI
    • A. Souloumiac, "Blind source detection and separation using second order nonstationarity," in Proc. Int. Conf. Acoustics, Speech and Signal Processing, Detroit, MI, 1995, pp. 1912-1915.
    • (1995) Proc. Int. Conf. Acoustics, Speech and Signal Processing , pp. 1912-1915
    • Souloumiac, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.