Machine learning and image interpretation /
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 ass...
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| Format: | eBook |
| Language: | English |
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New York :
Plenum Press,
[1997]
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| Series: | Advances in computer vision and machine intelligence.
Language of science. |
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xxiv, 423 pages) : illustrations. |
| Bibliography: | Includes bibliographical references (pages 377-407) and indexes. |
| ISBN: | 9781489918161 (electronic bk.) 1489918167 (electronic bk.) |