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Machine Learning and Image Interpretation
Caelli, Terry; Bischof, Walter F.
€ 202.81
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Description for Machine Learning and Image Interpretation
Hardback. Series: Advances in Computer Vision and Machine Intelligence. Num Pages: 423 pages, biography. BIC Classification: TJF; UYQV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 25. Weight in Grams: 1780.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
1997
Publisher
Springer Science+Business Media United States
Number of pages
423
Condition
New
Series
Advances in Computer Vision and Machine Intelligence
Number of Pages
423
Place of Publication
, United States
ISBN
9780306457616
SKU
V9780306457616
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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