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Volumn 1230, Issue , 1997, Pages 29-42

The softassign procrustes matching algorithm

Author keywords

[No Author keywords available]

Indexed keywords

GEOMETRY; ITERATIVE METHODS; STATISTICS;

EID: 84956856850     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63046-5_3     Document Type: Conference Paper
Times cited : (228)

References (20)
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    • F. L. Bookstein. Landmark methods for forms without landmarks: Localizing group differences in outline shape. In A. Amini, F. L. Bookstein, and D. Wilson, editors, Proc. of the Workshop on Mathematical Methods in Biomedical Image Analysis, pages 279-289. IEEE Computer Society Press, 1996.
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    • Bookstein, F.L.1
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    • Learning with preknowledge: Clustering with point and graph matching distance measures
    • S. Gold, A. Rangarajan, and E. Mjolsness. Learning with preknowledge: clustering with point and graph matching distance measures. Neural Computation, 8(4):787-804, 1996.
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  • 8
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    • Procrustes methods in the statistical analysis of shape
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    • Goodall, C.1
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    • W. D. K. Green. The thin-plate spline and images with curving features. In K. V. Mardia, C. A. Gill, and I. L. Dryden, editors, Proceedings in image fusion and shape variability techniques, pages 79-97. Leeds University Press, 1996.
    • (1996) Proceedings in Image Fusion and Shape Variability Techniques , pp. 79-97
    • Green, W.1
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    • A Lecture Notes volume in the Santa Fe Institute Studies in the Sciences of Complexity. Addison-wesley, New York
    • J. Hertz, A. Krogh, and R. G. Palmer. Introduction to the Theory of Neural Computation, volume 1 of A Lecture Notes volume in the Santa Fe Institute Studies in the Sciences of Complexity. Addison-wesley, New York, 1991.
    • (1991) Introduction to the Theory of Neural Computation , vol.1
    • Hertz, J.1    Krogh, A.2    Palmer, R.G.3
  • 11
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    • Shape-manifolds, Procrustean metrics and complex projective spaces
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    • Kendall, D.G.1
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.