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Volumn 2504, Issue , 2002, Pages 196-206

Feature subset selection in an ICA space

Author keywords

Divergence; Feature selection; Independent component analysis; Naive bayes

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS;

EID: 23044533903     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36079-4_17     Document Type: Conference Paper
Times cited : (3)

References (18)
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    • Dawid, A.P.1
  • 3
    • 0142130721 scopus 로고    scopus 로고
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    • Bell, A., Sejnowski, T.: The 'independent components' of natural scenes are edge filters. Neural Computation 11 (1999) 1739-1768
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  • 4
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    • A mixture models for unsupervised classification of non-Gaussian sources and automatic context switching in blind signal separation
    • Lee, T., Lewicki, M., Seynowski, T.: A mixture models for unsupervised classification of non-gaussian sources and automatic context switching in blind signal separation. IEEE Transactions on PAMI 22 (2000) 1-12
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    • Lee, T.1    Lewicki, M.2    Seynowski, T.3
  • 7
    • 0028416938 scopus 로고
    • Independent component analysis - A new concept?
    • Comon, P.: Independent component analysis - A new concept? Signal Processing 36 (1994) 287-314
    • (1994) Signal Processing , vol.36 , pp. 287-314
    • Comon, P.1
  • 9
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    • On the effectiveness of receptors in recognition systems
    • Marill, T., Green, D.: On the effectiveness of receptors in recognition systems. IEEE Trans. on Information Theory 9 (1963) 1-17
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    • Marill, T.1    Green, D.2
  • 10
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    • The divergence and bhattacharyya distance measures in signal selection
    • Kailath, T.: The divergence and bhattacharyya distance measures in signal selection. IEEE Trans. on Communication Technology COM-15 1 (1967) 52-60
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    • Kailath, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.