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Volumn 2006, Issue , 2006, Pages

A reconfigurable FPGA system for parallel independent component analysis

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EID: 33751524360     PISSN: 16873955     EISSN: 16873963     Source Type: Journal    
DOI: 10.1155/ES/2006/23025     Document Type: Article
Times cited : (23)

References (22)
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    • Hyvärinen, A.1    Oja, E.2
  • 2
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    • Viewpoint invariant face recognition using independent component analysis and attractor networks
    • MIT Press Cambridge, Mass, USA
    • M. Bartlett T. Sejnowski Viewpoint invariant face recognition using independent component analysis and attractor networks. Advances in Neural Information Processing Systems 9 MIT Press Cambridge, Mass, USA 1997 817 823
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    • Bartlett, M.1    Sejnowski, T.2
  • 4
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    • Independent component analysis, a new concept?
    • special issue on High-Order Statistics
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    • (1994) Signal Processing , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 5
    • 0034290916 scopus 로고    scopus 로고
    • ICA mixture models for unsupervised classification of non-Gaussian classes and automatic context switching in blind signal separation
    • T.-W. Lee M. S. Lewicki T. J. Sejnowski ICA mixture models for unsupervised classification of non-Gaussian classes and automatic context switching in blind signal separation. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 10 2000 1078 1089
    • (2000) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.22 , Issue.10 , pp. 1078-1089
    • Lee, T.-W.1    Lewicki, M.S.2    Sejnowski, T.J.3
  • 12
    • 0034934986 scopus 로고    scopus 로고
    • Design of FPGA ICA for hyperspectral imaging processing
    • Proceedings of SPIE Orlando, Fla, USA
    • A. Nordin C. Hsu H. Szu Design of FPGA ICA for hyperspectral imaging processing. Wavelet Applications VIII Proceedings of SPIE Orlando, Fla, USA 4391 2001 444 454
    • (2001) Wavelet Applications VIII , vol.4391 , pp. 444-454
    • Nordin, A.1    Hsu, C.2    Szu, H.3
  • 15
    • 0033728884 scopus 로고    scopus 로고
    • An algebraic solution to independent component analysis
    • taro@redeye.ap.eng.osaka-u.ac.jp itoh@ap.eng.osaka-u.ac.jp
    • T. Yamaguchi taro@redeye.ap.eng.osaka-u.ac.jp K. Itoh itoh@ap.eng.osaka-u.ac.jp An algebraic solution to independent component analysis. Optics Communications 178 1 2000 59 64
    • (2000) Optics Communications , vol.178 , Issue.1 , pp. 59-64
    • Yamaguchi, T.1    Itoh, K.2
  • 17
    • 3543107777 scopus 로고    scopus 로고
    • Parallel ICA and its hardware implementation in hyperspectral image analysis
    • hqi@utk.edu hdul@utk.edu gdp@utk.edu Proceedings of SPIE Orlando, Fla, USA
    • H. Du hdul@utk.edu H. Qi hqi@utk.edu G. D. Peterson gdp@utk.edu Parallel ICA and its hardware implementation in hyperspectral image analysis. Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II Proceedings of SPIE Orlando, Fla, USA 5439 2004 74 83
    • (2004) Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II , vol.5439 , pp. 74-83
    • Du, H.1    Qi, H.2    Peterson, G.D.3
  • 20
    • 0032652021 scopus 로고    scopus 로고
    • Some fundamentals and methods for hyperspectral image data analysis
    • Proceedings of SPIE San Jose, Calif, USA
    • D. Landgrebe Some fundamentals and methods for hyperspectral image data analysis. Systems and Technologies for Clinical Diagnostics and Drug Discovery II Proceedings of SPIE San Jose, Calif, USA 3603 1999 104 113
    • (1999) Systems and Technologies for Clinical Diagnostics and Drug Discovery II , vol.3603 , pp. 104-113
    • Landgrebe, D.1
  • 22
    • 33751543378 scopus 로고    scopus 로고
    • California Institute of Technology, AVIRIS concept
    • NASA Jet Propulsion Laboratory, California Institute of Technology, AVIRIS concept, 2001, http://aviris.jpl.nasa.org/html/aviris.concept.html
    • (2001)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.