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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