We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Algorithms for classification of 3D objects either recover the depth information lost during imaging using multiple images, structured lighting, image cues, etc. or work directly t...
Uncertainty management for geometric data is currently an important problem for (extensible) databases in general and for spatial databases, image databases, and GIS in particular...
we propose a repository to characterize OO evolution problematic. The two main objectives are to characterize object evolution according to its own features, and to uniformly analy...
The paper presents DLV+ a Disjunctive Logic Programming system with object-oriented constructs, including classes, objects, (multiple) inheritance, and types. DLV+ is built on top ...
Francesco Ricca, Nicola Leone, Valerio De Bonis, T...