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Object recognition and reconstruction are pivot technologies both in computer vision and in machine intelligence. There are a number of techniques for object recognition, such as pattern comparison, feature matching, and boundary detection and so on, which heavily depend on the rigid depiction of projected images of the object. This consequently results in that even recognized it is still remain tough...
This paper studies some aspects needing to be improved in current video supervision technology. It puts forward video supervision background self-adaptive algorithm in complex environment, by using mathematical morphology, genetic algorithm, rough set theory, etc. We construct morphological structure element according with traffic moving target, and propose mathematical morphology analysis model for...
Sem@ntica is a system for extracting the information contained in collections of documents into a knowledge base. It combines high quality conventional named entity analysis with an ontology class labeling capability for open class words. The ontology comprises an upper ontology and one or more domain ontologies. The system has tools for rapidly designing the ontology and mapping segments of Word...
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