Abstract--In this paper we introduce a probabilistic approach of building extraction in remotely sensed images. To cope with data heterogeneity we construct a flexible hierarchical...
Abstract. Model-based most specific concepts are a non-standard reasoning service in Description Logics. They have turned out to be useful in knowledge base completion for ontologi...
Documents and authors can be clustered into “knowledge communities” based on the overlap in the papers they cite. We introduce a new clustering algorithm, Streemer, which fin...
Vasileios Kandylas, S. Phineas Upham, Lyle H. Unga...
— This paper describes a method of probabilistic obstacle map building based on Bayesian estimation. Most active or passive obstacle sensors observe only the most frontal objects...
This paper describes the development of a framework to build Virtual Communities of Practice in the web. It is part of a larger project named as DWeb (acronym for Dream Web). The p...