How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
This paper shows that the performance of peer-to-peer resource discovery algorithms is upper bounded by a k-Steiner minimum tree and proposes an algorithm locating near-optimal qu...
Mikko Vapa, Annemari Auvinen, Yevgeniy Ivanchenko,...
In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span ove...
Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, ...
Abstract. This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to ove...
This paper presents an algorithm for discovering conjunction rules with high reliability from data sets. The discovery of conjunction rules, each of which is a restricted form of ...