Abstract. Frequent itemsets and association rules are generally accepted concepts in analyzing item-based databases. The Apriori-framework was developed for analyzing categorical d...
In this paper, we propose a peer-to-peer approach to derive and obtain additional context data from lowlevel context data that may be spread over multiple domains in pervasive com...
Abstract. The availability of massive amounts of biological data, distributed in various data sources, has prompted the development of a wide range of data analysis tools. However,...
In this paper, we present a novel fast algorithmfor image retouching. A space-mapping technique is used to transform a missing (or damaged) part of a surface into a different shap...
Vladimir V. Savchenko, Nikita Kojekine, Hiroshi Un...
We present a novel approach to concept learning in which a coevolutionary genetic algorithm is applied to the construction of an immune system whose antibodies can discriminate bet...