Applications of artificial intelligence VII: 28-30 March 1989, Orlando, Florida, Part 1
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SESSION IB KNOWLEDGE ACQUISITION AND REPRESENTATION
SESSION 2A OBJECT DETECTION AND TRACKING
11 other sections not shown
abstraction algorithm analysis application approach Artificial Intelligence Automatic binary boundary classifier clusters components Computer Vision concept conceptual clustering contour database defined described determine developed domain edge detection edge points Engineering environment equation error evaluation example expert system extracted feature extraction Figure filter function gradient graph heuristic Hough transform IEEE image processing implementation inference engine initial input interface interpretation knowledge base knowledge-based labeling liquid level machine Machine Learning mask merge method MOCA module morphological pyramid newsgroup node noise object operations optimal orientation package parallel parameters path Pattern Recognition performance pixel problem procedure processor Prolog properties quadtree recognition region representation represented robot rule-based rules sampling scale scale-space segmentation sequence signal simulation split strategy structure subroutine subsystem surface techniques threshold tree variables vector vision system waveform