%0 Conference Proceedings
%T Hierarchical Knowledge Structure Applied to Image Analyzing System - Possibilities of Practical Usage
%+ Pedagogical University of Krakow
%A Wójcik, Krzysztof
%Z Part 2: Workshop
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 1st Availability, Reliability and Security (CD-ARES)
%C Vienna, Austria
%Y A Min Tjoa
%Y Gerald Quirchmayr
%Y Ilsun You
%Y Lida Xu
%I Springer
%3 Availability, Reliability and Security for Business, Enterprise and Health Information Systems
%V LNCS-6908
%P 149-163
%8 2011-08-22
%D 2011
%R 10.1007/978-3-642-23300-5_12
%K image understanding
%K pattern recognition
%K image processing
%K knowledge engineering
%K machine learning
%K cognitive informatics
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%Z WG 8.4
%Z WG 8.9
%2 https://inria.hal.science/hal-01590388/document
%2 https://inria.hal.science/hal-01590388/file/978-3-642-23300-5_12_Chapter.pdf
%L hal-01590388
%U https://inria.hal.science/hal-01590388
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-CD-ARES
%~ IFIP-WG8-4
%~ IFIP-WG8-9
%~ IFIP-LNCS-6908