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Progress in Neural Networks, Volume Four Rakesh Mohan

Progress in Neural Networks, Volume Four By Rakesh Mohan

Progress in Neural Networks, Volume Four by Rakesh Mohan


$79.09
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Summary

A study of the use of neural networks for machine vision. Contributions from researchers serve as a platform for discussion. It is part of a series which reviews research in natural and synthetic neural networks, as well as in modelling, analysis, design and development of neural networks.

Progress in Neural Networks, Volume Four Summary

Progress in Neural Networks, Volume Four by Rakesh Mohan

This is a study of the use of neural networks for machine vision. It is part of a series which reviews research in natural and synthetic neural networks, as well as in modelling, analysis, design, and development of neural networks in software and hardware areas. Contributions from researchers and practitioners serve as a platform for discussion of topics of interest to the neural network and cognitive information processing communities.

Table of Contents

Receptive field calculus, Jan J. Koenderink; visual reconstruction and data fusion, D. Suter; visual perception of translational and rotational motion, Jim-Shih Liaw, Irwin K. King and Michael A. Arbib; neural network for recovering observer motion, David J. Heeger and Allan D. Jepson; image segmentation using a multilayer Kohonen's self-organizing feature map, Minsoo Suk and Jean Koh; illusory contours and image segmentation - neural network architectures, Josef Skrzpek and Brian Ringer; grouping and segmentation using neural networks - applications to edge detection, texture segmentation and fac recognition, B.S. Manjunath and R. Chellappa; object recognition using constraint satisfaction networks, Ruud M. Bolle, Andrea Califano and Rick Kjeldsen.

Additional information

NPB9780893919672
9780893919672
0893919675
Progress in Neural Networks, Volume Four by Rakesh Mohan
New
Hardback
Intellect Books
1997-05-01
306
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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