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Machine Learning and Image Interpretation

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  • © 1997

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Table of contents (8 chapters)

Keywords

About this book

In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed.

Authors and Affiliations

  • Curtin University of Technology, Perth, Australia

    Terry Caelli, Walter F. Bischof

Bibliographic Information

  • Book Title: Machine Learning and Image Interpretation

  • Authors: Terry Caelli, Walter F. Bischof

  • Series Title: Advances in Computer Vision and Machine Intelligence

  • DOI: https://doi.org/10.1007/978-1-4899-1816-1

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1997

  • Hardcover ISBN: 978-0-306-45761-6Published: 30 November 1997

  • Softcover ISBN: 978-1-4899-1818-5Published: 11 June 2013

  • eBook ISBN: 978-1-4899-1816-1Published: 21 November 2013

  • Edition Number: 1

  • Number of Pages: XXIV, 423

  • Topics: Electrical Engineering

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