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Volumn 4666 LNCS, Issue , 2007, Pages 49-56

Independent subspace analysis is unique, given irreducibility

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; RANDOM VARIABLES;

EID: 38149128270     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74494-8_7     Document Type: Conference Paper
Times cited : (12)

References (6)
  • 2
    • 0031645454 scopus 로고    scopus 로고
    • Multidimensional independent component analysis
    • 98, Seattle
    • Cardoso, J.F.: Multidimensional independent component analysis. In: Proc. of ICASSP '98, Seattle (1998)
    • (1998) Proc. of ICASSP
    • Cardoso, J.F.1
  • 3
    • 0028416938 scopus 로고
    • Independent component analysis - a new concept?
    • Comon, P.: Independent component analysis - a new concept? Signal Processing 36, 287-314 (1994)
    • (1994) Signal Processing , vol.36 , pp. 287-314
    • Comon, P.1
  • 4
    • 3142759950 scopus 로고    scopus 로고
    • A new concept for separability problems in blind source separation
    • Theis, F.J.: A new concept for separability problems in blind source separation. Neural Computation 16, 1827-1850 (2004)
    • (2004) Neural Computation , vol.16 , pp. 1827-1850
    • Theis, F.J.1
  • 5
    • 84864031064 scopus 로고    scopus 로고
    • Towards a general independent subspace analysis
    • Theis, F.J.: Towards a general independent subspace analysis. In: Proc. NIPS 2006 (2007)
    • (2007) Proc. NIPS 2006
    • Theis, F.J.1
  • 6
    • 33745683201 scopus 로고    scopus 로고
    • Theis, F.J., Kawanabe, M.: Uniqueness of non-gaussian subspace analysis. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, 3889, pp. 917-925. Springer, Heidelberg (2006)
    • Theis, F.J., Kawanabe, M.: Uniqueness of non-gaussian subspace analysis. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, vol. 3889, pp. 917-925. Springer, Heidelberg (2006)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.