Auto-associative models and generalized principal component analysis-Reference-Cited by-同舟云学术

Auto-associative models and generalized principal component analysis

Published:2005-03 Issue:1 Volume:93 Page:21-39
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Girard Stéphane,Iovleff Serge

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference35 articles.

1. A fixed effect curvilinear model;Besse;Comput. Statist,1995

2. Théorie de l'estimation fonctionnelle;Bosq,1987

3. Multispace KL for pattern representation and classification;Capelli;IEEE Trans. Pattern Anal. Machine Intell,2001

4. H. Caussinus, A. Ruiz-Gazen, Metrics for finding typical structures by means of Principal Component Analysis, Data Sci. and its Applications, Harcourt Brace Japan, 1995, pp. 177–192.

5. B. Chalmond, Modeling and Inverse Problems in Image Analysis, Applied Mathematics Science Series, Vol. 155, Springer, New-York, 2002.

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