Article

Similitude-invariant pattern recognition using parallel distributed processing

Author:

K. PrazdnyAuthors Info & Claims

AAAI'87: Proceedings of the sixth National conference on Artificial intelligence - Volume 2

Pages 728 - 732

Published: 13 July 1987 Publication History

Abstract

Translation-, rotation-, and scale-invariant recognition of multiple, superimposed, partially specified or occluded objects can be accomplished in a fast, simple, distributed and parallel fashion using localizable features with intrinsic orientation. All known objects are recognized, localized, and segmented simultaneously. The method is robust and efficient.

References

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Digital Library

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Digital Library

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Index Terms

Similitude-invariant pattern recognition using parallel distributed processing
1. Computing methodologies
  1. Machine learning
    1. Machine learning algorithms
      1. Feature selection
2. Theory of computation
  1. Models of computation
    1. Concurrency
      1. Parallel computing models

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Guide Proceedings

AAAI'87: Proceedings of the sixth National conference on Artificial intelligence - Volume 2

July 1987

835 pages

ISBN:0934613427

Sponsors

AAAI: American Association for Artificial Intelligence

Publisher

AAAI Press

Publication History

Published: 13 July 1987

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