Hierarchical Knowledge Structure Applied to Image Analyzing System - Possibilities of Practical Usage

Abstract : This article describes a proposition and first examples of using inductive learning methods in building of the image understanding system with the hierarchical structure of knowledge. This system may be utilized in various task of automatic image interpretation, classification and image enhancement. The paper points to the essential problems of the whole method: the constructing an effective algorithm of conceptual clustering and creation of the method of knowledge evaluation. Some possible solutions are discussed and first practical results (image filtering) are presented.
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Communication dans un congrès
A Min Tjoa; Gerald Quirchmayr; Ilsun You; Lida Xu. 1st Availability, Reliability and Security (CD-ARES), Aug 2011, Vienna, Austria. Springer, Lecture Notes in Computer Science, LNCS-6908, pp.149-163, 2011, Availability, Reliability and Security for Business, Enterprise and Health Information Systems. 〈10.1007/978-3-642-23300-5_12〉
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Krzysztof Wójcik. Hierarchical Knowledge Structure Applied to Image Analyzing System - Possibilities of Practical Usage. A Min Tjoa; Gerald Quirchmayr; Ilsun You; Lida Xu. 1st Availability, Reliability and Security (CD-ARES), Aug 2011, Vienna, Austria. Springer, Lecture Notes in Computer Science, LNCS-6908, pp.149-163, 2011, Availability, Reliability and Security for Business, Enterprise and Health Information Systems. 〈10.1007/978-3-642-23300-5_12〉. 〈hal-01590388〉

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