This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
In this paper, we introduce principles for ontology-based querying of information bases. We consider a framework in which a basis ontology over atomic concepts in combination with ...
Online trading invariably involves dealings between strangers, so it is important for one party to be able to judge objectively the trustworthiness of the other. In such a setting,...
This paper presents a concept for the integration of quantitative and qualitative information sources with their accompanying management support functionalities from navigation and...