In this paper, we study the problem of fine-grained image categorization. The goal of our method is to explore fine image statistics and identify the discriminative image patche...
This paper proposes a method for measuring semantic similarity between words as a new tool for text analysis. The similarity is measured on a semantic network constructed systemat...
Object-oriented programming is the current mainstream programming paradigm but existing RDF APIs are mostly tripleoriented. Traditional techniques for bridging a similar gap betwe...
Eyal Oren, Renaud Delbru, Sebastian Gerke, Armin H...
In the same way as the “static” Semantic Web deals with data model and language heterogeneity and semantics that lead to RDF and OWL, there is language heterogeneity and the ne...
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...