Comparative analysis of function approximation methods applied to image processing-Reference-Cited by-同舟云学术

Comparative analysis of function approximation methods applied to image processing

Published:2007-06 Issue:2 Volume:17 Page:217-221
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Sergeev V. V.,Kopenkov V. N.,Chernov A. V.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661807020071.pdf

Reference5 articles.

1. N. N. Kalitkin, Numerical Methods (Nauka, Moscow, 1978) [in Russian].

2. S. Korotkii, Neural Networks: a Backpropagation Algorithm http://lii.newmail.ru/NN/KOROTKY/N2/kor_nn2.htm [in Russian].

3. M. V. Gashnikov, N. I. Glumov, and N. Yu Il’yasova, “Increasing Image Quality and Estimation of Geometrical Parameters of Images” in Methods of Computer Image Processing, Ed. by V. A. Soifer (Fizmatlit, Moscow, 2001), pp. 527–598 [in Russian].

4. B. J. A. Krose and P. P. van der Smagt, An Introduction to Neural Networks (Univ. of Amsterdam, Amsterdam, 1996).

5. V. V. Sergeev and A. V. Chernov, “Image Reconstruction Methods Based on the Principles of Pattern Recognition Theory,” Pattern Recogn. Image Anal. 7(4), 474–479 (1997).

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