Neural networks in vision and pattern recognition

著者

• Skrzypek, Josef
• Karplus, Walter J.

書誌事項

Neural networks in vision and pattern recognition

edited by J. Skrzypek & W. Karplus

（Series in machine perception and artificial intelligence / editors, H. Bunke, P.S.P. Wang, v. 3）

World Scientific, c1992

注記

Includes bibliographical references

内容説明・目次

内容説明

The neural network paradigm with its various advantages might be the next promising bridge between artificial intelligence and pattern recognition that will help with the conceptualization of new computational artifacts. This volume contains ten papers which represent some of the work being done in the field, such as in computational neuroscience, pattern recognition, computational vision, and applications.

目次

• Lightness constancy from luminance contrast, J. Skrzypek and D. Gungner
• bringing the grandmother back into the picture - a memory-based view of object recognition, S. Edelman and T. Poggio
• internal organization of classifier networks trained by backpropagation, D.F. Michaels
• system identification with artificial neural networks, E.R. Tisdale and W.J. Karplus
• mixed finite element based neural networks in visual reconstruction, D. Suter
• the random "Neural" network model for texture generation, V. Atalay, et al
• neural networks for collective translational invariant object recognition, L.W. Chan
• image recognition and reconstruction using associative magnetic processing, J.M. Goodwin, et al
• incorporating uncertainty in neural networks, B.R. Kammerer
• neural networks for the recognition of engraved musical scores, P. Martin and C. Bellissant.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA18223370
• ISBN:
  • 9810210140
• 出版国コード: si
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Singapore ; New Jersey
• ページ数/冊数: ix, 209 p.
• 大きさ: 26 cm
• 親書誌ID:
  • BA17261443