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Volumn , Issue , 2006, Pages 3602-3608

KICA feature extraction in application to FNN based image registration

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; DISCRETE COSINE TRANSFORMS; FEEDFORWARD NEURAL NETWORKS; INDEPENDENT COMPONENT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

EID: 40649109319     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (17)
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    • A.B. Xu, P. Guo, "Isomap and Neural Networks based Image Registration Scheme", International Symposium on Neural Networks (ISNN 2006), Lecture Notes in Computer Science, Vol. 3972, pp. 486-491, Springer- Verlag, Berlin Heidelberg 2006.
    • (2006) Lecture Notes in Computer Science , vol.3972 , pp. 486-491
    • Xu, A.B.1    Guo, P.2
  • 4
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    • Amari, S.1
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    • PhD Thesis, the Chinese University of Hong Kong
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    • (2001)
    • Guo, P.1
  • 13
    • 0026778445 scopus 로고
    • A demonstration that breast cancer recurrence can be predicted by neural network analysis
    • P.M. Ravdin, G.M. Clark, S.G. Hilsenbeck, et al, "A demonstration that breast cancer recurrence can be predicted by neural network analysis," Breast Cancer Res Treat, vol. 21, no. 1, pp. 47-53, 1992.
    • (1992) Breast Cancer Res Treat , vol.21 , Issue.1 , pp. 47-53
    • Ravdin, P.M.1    Clark, G.M.2    Hilsenbeck, S.G.3
  • 14
    • 0028019225 scopus 로고
    • Survival analysis of censored data: Neural network analysis detection of complex interaction between variables
    • De M. Laurentiis, P.M. Ravdin, "Survival analysis of censored data: Neural network analysis detection of complex interaction between variables," Breast Cancer Res Treat, vol. 32, no. 1, pp. 113-118, 1994.
    • (1994) Breast Cancer Res Treat , vol.32 , Issue.1 , pp. 113-118
    • Laurentiis, D.M.1    Ravdin, P.M.2
  • 15
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    • Conneotionist Nonparametric Regression: Multilayer Feedforward Networks Can Learn Arbitrary Mapping
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    • Hagan, M.T.1    Menhaj, M.2
  • 17
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    • Regularization Parameter Estimation for Feedforward Neural Networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.