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Volumn 19, Issue 4, 2007, Pages 994-1021

Independent slow feature analysis and nonlinear blind source separation

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EID: 34247263840     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2007.19.4.994     Document Type: Article
Times cited : (54)

References (24)
  • 1
    • 0346724356 scopus 로고    scopus 로고
    • Linear and nonlinear ICA based on mutual information-the MISEP method
    • Almeida, L. (2004). Linear and nonlinear ICA based on mutual information-the MISEP method. Signal Processing, 84(2), 231-245.
    • (2004) Signal Processing , vol.84 , Issue.2 , pp. 231-245
    • Almeida, L.1
  • 5
    • 33749443571 scopus 로고    scopus 로고
    • What is the relation between independent component analysis and slow feature analysis?
    • Blaschke, T., Berkes, P., & Wiskott, L. (2006). What is the relation between independent component analysis and slow feature analysis? Neural Computation, 18(10), 2495-2508.
    • (2006) Neural Computation , vol.18 , Issue.10 , pp. 2495-2508
    • Blaschke, T.1    Berkes, P.2    Wiskott, L.3
  • 6
    • 2442621301 scopus 로고    scopus 로고
    • CuBICA: Independent component analysis by simultaneous third- and fourth-order cumulant diagonalization
    • Blaschke, T., & Wiskott, L. (2004). CuBICA: Independent component analysis by simultaneous third- and fourth-order cumulant diagonalization. IEEE Transactions on Signal Processing, 52(5), 1250-1256.
    • (2004) IEEE Transactions on Signal Processing , vol.52 , Issue.5 , pp. 1250-1256
    • Blaschke, T.1    Wiskott, L.2
  • 8
    • 0030544243 scopus 로고    scopus 로고
    • Jacobi angles for simultaneous diagonalization
    • Cardoso, J.-E, & Souloumiac, A. (1996). Jacobi angles for simultaneous diagonalization. SIAM J. Mat. Anal Appl., 17(1), 161-164.
    • (1996) SIAM J. Mat. Anal Appl , vol.17 , Issue.1 , pp. 161-164
    • Cardoso, J.-E.1    Souloumiac, A.2
  • 9
    • 0028416938 scopus 로고
    • Independent component analysis: A new concept?
    • Comon, P. (1994). Independent component analysis: A new concept? Signal Processing, 36(3), 287-314.
    • (1994) Signal Processing , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 11
    • 0037296681 scopus 로고    scopus 로고
    • On the separability of nonlinear mixtures of temporally correlated sources
    • Hosseini, S., & Jutten, C. (2003). On the separability of nonlinear mixtures of temporally correlated sources. IEEE Signal Processing Letters, 10(2), 43-46.
    • (2003) IEEE Signal Processing Letters , vol.10 , Issue.2 , pp. 43-46
    • Hosseini, S.1    Jutten, C.2
  • 12
    • 0041435860 scopus 로고    scopus 로고
    • Nonlinear independent component analysis: Existence and uniqueness results
    • Hyvärinen, A., & Pajunen, P. (1999). Nonlinear independent component analysis: Existence and uniqueness results. Neural Networks, 12(3), 429-439.
    • (1999) Neural Networks , vol.12 , Issue.3 , pp. 429-439
    • Hyvärinen, A.1    Pajunen, P.2
  • 13
    • 85039237961 scopus 로고    scopus 로고
    • Jutten, C., & Karhunen, J. (2003). Advances in nonlinear blind source separation. In Proc. of the 4th Int. Symposium on Independent Component Analysis and Blind Signal Separation, Nara, Japan (pp. 245-256). Nara, Japan: N.P.
    • Jutten, C., & Karhunen, J. (2003). Advances in nonlinear blind source separation. In Proc. of the 4th Int. Symposium on Independent Component Analysis and Blind Signal Separation, Nara, Japan (pp. 245-256). Nara, Japan: N.P.
  • 15
    • 0000302959 scopus 로고
    • Separation of a mixture of independent signals using time delayed correlations
    • Molgedey, L., & Schuster, G. (1994). Separation of a mixture of independent signals using time delayed correlations. Physical Review Letters, 72(23), 3634-3637.
    • (1994) Physical Review Letters , vol.72 , Issue.23 , pp. 3634-3637
    • Molgedey, L.1    Schuster, G.2
  • 16
    • 85039188843 scopus 로고    scopus 로고
    • Understanding slow feature, analysis: A mathematical framework. Humboldt University
    • Manuscript in preparation
    • Sprekeler, H., Zito, T., & Wiskott, L. (2007). Understanding slow feature, analysis: A mathematical framework. Humboldt University. Manuscript in preparation.
    • (2007)
    • Sprekeler, H.1    Zito, T.2    Wiskott, L.3
  • 17
    • 0036684707 scopus 로고    scopus 로고
    • A generic framework for blind source separation in structured nonlinear models
    • Taleb, A. (2002). A generic framework for blind source separation in structured nonlinear models. IEEE Transactions on Signal Processing, 50(8), 1819-1830.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.8 , pp. 1819-1830
    • Taleb, A.1
  • 18
    • 0002109212 scopus 로고    scopus 로고
    • Nonlinear source separation: The postnonlinear mixtures
    • Available online at
    • Taleb, A., & Jutten, C. (1997). Nonlinear source separation: The postnonlinear mixtures. In Proc. European Symposium on Artificial Neural Netrvorks, Bruges, Belgium (pp. 279-284) Available online at http://www.dice.ucl.ac.be/ esann/proceedings/papers.php?ann-1997.
    • (1997) Proc. European Symposium on Artificial Neural Netrvorks, Bruges, Belgium , pp. 279-284
    • Taleb, A.1    Jutten, C.2
  • 19
    • 0033341734 scopus 로고    scopus 로고
    • Source separation in post non linear mixtures
    • Taleb, A., & Jutten, C. (1999). Source separation in post non linear mixtures. IEEE Transactions on Signal Processing, 47(10), 2807-2820.
    • (1999) IEEE Transactions on Signal Processing , vol.47 , Issue.10 , pp. 2807-2820
    • Taleb, A.1    Jutten, C.2
  • 21
    • 0036546660 scopus 로고    scopus 로고
    • Slow feature analysis: Unsupervised learning of invariances
    • Wiskott, L., & Sejnowski, T. (2002). Slow feature analysis: Unsupervised learning of invariances. Neural Computation, 14(4), 715-770.
    • (2002) Neural Computation , vol.14 , Issue.4 , pp. 715-770
    • Wiskott, L.1    Sejnowski, T.2
  • 22
    • 0032002601 scopus 로고    scopus 로고
    • Information-theoretic approach to blind separation of sources in non-linear mixture
    • Yang, H.-H., Amari, S., & Cichocki, A. (1998). Information-theoretic approach to blind separation of sources in non-linear mixture. Signal Processing, 64(3), 291-300.
    • (1998) Signal Processing , vol.64 , Issue.3 , pp. 291-300
    • Yang, H.-H.1    Amari, S.2    Cichocki, A.3
  • 23
    • 8344255796 scopus 로고    scopus 로고
    • Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation
    • Ziehe, A., Kawanabe, M., Harmeling, S., & Müller, K.-R. (2003). Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation. Journal of Machine Learning Research, 4, 1319-1338.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 1319-1338
    • Ziehe, A.1    Kawanabe, M.2    Harmeling, S.3    Müller, K.-R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.