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Volumn 2, Issue , 1996, Pages 394-398

Hidden image separation from incomplete image mixtures by independent component analysis

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; INDEPENDENT COMPONENT ANALYSIS; MIXTURES; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; QUANTIZATION (SIGNAL); SENSORS;

EID: 0008908255     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.546855     Document Type: Conference Paper
Times cited : (21)

References (11)
  • 1
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    • S. Amari. Neural theory of association and concept formation. Biological Cybernetics, 26:175-185, 1977.
    • (1977) Biological Cybernetics , vol.26 , pp. 175-185
    • Amari, S.1
  • 2
    • 33749754615 scopus 로고    scopus 로고
    • A new leading algorithm for blind signal separation
    • Cambridge, Mass., MIT Press, (in print)
    • S.-I. Amari, A. Cichocki, and H. Yang. A new leading algorithm for blind signal separation. In NIPS'95, vol. 8, Cambridge, Mass., 1996. MIT Press, (in print).
    • (1996) NIPS'95 , vol.8
    • Amari, S.-I.1    Cichocki, A.2    Yang, H.3
  • 3
    • 85027149634 scopus 로고
    • A new composite criterion for adaptive and iterative blind source separation
    • J. Cardoso, A. Belouchrani, and B. Laheld. A new composite criterion for adaptive and iterative blind source separation. In Proceedings ICASSP-94, volume 4, pages 273-276, 1994.
    • (1994) Proceedings ICASSP-94 , vol.4 , pp. 273-276
    • Cardoso, J.1    Belouchrani, A.2    Laheld, B.3
  • 4
    • 0000217512 scopus 로고    scopus 로고
    • Adaptive learning algorithm for PCA with partial data
    • Austrian Soc. for Cybernetic Studies, Vienna
    • A. Cichocki, W. Kasprzak, and W. Skarbek. Adaptive learning algorithm for PCA with partial data. In Cybernetics and Systems '96., vol. 2, pages 1014-1019. Austrian Soc. for Cybernetic Studies, Vienna, 1996.
    • (1996) Cybernetics and Systems '96 , vol.2 , pp. 1014-1019
    • Cichocki, A.1    Kasprzak, W.2    Skarbek, W.3
  • 6
    • 0026188054 scopus 로고
    • Bund separation of sources, part ii: Problems statement
    • P. Comon, C. Jutten, and J. Herault. Bund separation of sources, part ii: Problems statement. Signal Processing, 24(1):11-20, 1991.
    • (1991) Signal Processing , vol.24 , Issue.1 , pp. 11-20
    • Comon, P.1    Jutten, C.2    Herault, J.3
  • 7
    • 0026191274 scopus 로고
    • Blind separation of sources, part i: An adaptive algorithm based on neuromimetic architecture
    • C. Jutten and J. Herault. Blind separation of sources, part i: An adaptive algorithm based on neuromimetic architecture. Signal Processing, 24(1):1-10, 1991.
    • (1991) Signal Processing , vol.24 , Issue.1 , pp. 1-10
    • Jutten, C.1    Herault, J.2
  • 8
    • 0002257820 scopus 로고
    • A complex self-adaptive algorithm for source separation based on high order contrasts
    • Lausanne, EUSIP Ass
    • E. Moreau and 0. Macchi. A complex self-adaptive algorithm for source separation based on high order contrasts. In Proceedings EUSIPCO-94, pages 1157-1160, Lausanne, 1994. EUSIP Ass.
    • (1994) Proceedings EUSIPCO-94 , pp. 1157-1160
    • Moreau, E.1    Macchi, O.2
  • 9
    • 0026954958 scopus 로고
    • Principal components, minor components and linear neural networks
    • E. Oja. Principal components, minor components and linear neural networks. Neural Networks, 5:927-935, 1992.
    • (1992) Neural Networks , vol.5 , pp. 927-935
    • Oja, E.1
  • 10
    • 0005001064 scopus 로고
    • Signal separation by nonlinear hebbian learning
    • IEEE Press
    • E. Oja and J. Karhunen. Signal separation by nonlinear hebbian learning. In Computational Intelligence, pages 83-96. IEEE Press, 1995.
    • (1995) Computational Intelligence , pp. 83-96
    • Oja, E.1    Karhunen, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.