Machine Learning and Image Interpretation (Paperback, Softcover reprint of the original 1st ed. 1997)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Advances in Computer Vision and Machine Intelligence
Release date:	June 2013
First published:	1997
Authors:	Terry Caelli • Walter F. Bischof
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Paperback
Pages:	423
Edition:	Softcover reprint of the original 1st ed. 1997
ISBN-13:	978-1-4899-1818-5
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
LSN:	1-4899-1818-3
Barcode:	9781489918185

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