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An adaptive intrusion detection approach based on concept lattices and intrusion detection technology is presented. Firstly, the incremental algorithm is use to construct concept lattices. Secondly, by analyzing the implication relations among the connotation of concepts, detection rules can be extracted and trained repeatedly to construct the intrusion detector. When the false alarm rate or missed...
Personalization is widely used in various fields to provide users with more suitable and personalized service. In this paper, a personalized learning service framework based on Semantic Web Technologies is proposed. The framework made full use of ontology to construct the semantic metadata model and user profile, mining and utilizing the friendship and membership to provide personalized learning services...
We present a novel object detection framework that uses the local shape patches features combining the interclass global features information. A supervised local model learning architecture is proposed: a novel interest point descriptor is proposed and applied to detect the local shape patches, the local shape patches are formed by chains of several connected contour segments. Then the object local...
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