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Volumn 13, Issue 11, 2001, Pages 2517-2532

A variational method for learning sparse and overcomplete representations

(1)  Girolami, Mark a  

a NONE

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Indexed keywords


EID: 0038132749     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976601753196003     Document Type: Article
Times cited : (130)

References (19)
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    • Lappalainen, H., & Honkela, A. (2000). Bayesian nonlinear independent component analysis by multi-layer perceptrons. In M. Girolami (Ed.), Advances in independent component analysis (pp. 93-120). Berlin: Springer-Verlag.
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    • Lee, T. W., Lewicki, M., & Sejnowski, T. (2000). ICA mixture models for unsupervised classification of non-gaussian sources and automatic context switching in blind signal separation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10), 1-12.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.