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Volumn 3889 LNCS, Issue , 2006, Pages 909-916

Cross-entropy optimization for independent process analysis

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL MATHEMATICS; COMPUTER SIMULATION; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 33745683202     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11679363_113     Document Type: Conference Paper
Times cited : (22)

References (19)
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    • Póczos, B., Takács, B., Lõrincz, A.: Independent Subspace Analysis on Innovations. In: ECML, Porto, Portugal. (2005) 698-706
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    • Póczos, B.1    Takács, B.2    Lõrincz, A.3
  • 5
    • 0041709586 scopus 로고    scopus 로고
    • Independent component analysis for time-dependent stochastic processes
    • Hyvärinen, A.: Independent Component Analysis for Time-dependent Stochastic Processes. In: ICANN 1998. (1998) 541-546
    • (1998) ICANN 1998 , pp. 541-546
    • Hyvärinen, A.1
  • 6
    • 31844444214 scopus 로고    scopus 로고
    • Multi-dimensional ICA to separate correlated sources
    • Vollgraf, R., Obermayer, K.: Multi-Dimensional ICA to Separate Correlated Sources. In: NIPS. Volume 14. (2001) 993-1000
    • (2001) NIPS , vol.14 , pp. 993-1000
    • Vollgraf, R.1    Obermayer, K.2
  • 7
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    • Finding clusters in independent component analysis
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    • (2003) ICA2003 , pp. 891-896
    • Bach, F.R.1    Jordan, M.I.2
  • 8
    • 33646229542 scopus 로고    scopus 로고
    • Independent subspace analysis using k-nearest neighborhood distances
    • Póczos, B., Lõrincz, A.: Independent Subspace Analysis Using k-Nearest Neighborhood Distances. ICANN 2005 (2005) 163-168
    • (2005) ICANN 2005 , pp. 163-168
    • Póczos, B.1    Lõrincz, A.2
  • 9
    • 31844446803 scopus 로고    scopus 로고
    • Independent subspace analysis using geodesic spanning trees
    • Póczos, B., Lõrincz, A.: Independent Subspace Analysis Using Geodesic Spanning Trees. In: ICML. (2005) 673-680
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    • Póczos, B.1    Lõrincz, A.2
  • 10
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    • Blind signal separation into groups of dependent signals using joint block diagonalization
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    • Van Hulle, M.M.: Edgeworth Approximation of Multivariate Differential Entropy. Neural Comput. 17 (2005) 1903-1910
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    • Van Hulle, M.M.1
  • 12
    • 0038660018 scopus 로고    scopus 로고
    • Dual multivariate auto-regressive modeling in state space for temporal signal separation
    • Cheung, Y., Xu, L.: Dual Multivariate Auto-Regressive Modeling in State Space for Temporal Signal Separation. IEEE Tr. on Syst. Man Cyb. B 33 (2003) 386-398
    • (2003) IEEE Tr. on Syst. Man Cyb. B , vol.33 , pp. 386-398
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  • 13
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    • Uniqueness of complex and multidimensional independent component analysis
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  • 14
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    • Costa, J.A., Hero, A.O.: Manifold Learning Using k-Nearest Neighbor Graphs. In: ICASSP, Montreal, Canada. (2004)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.