d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...
Complex software systems possess concurrent and reactive behaviors requiring precise specifications prior to development. Lamport's transition axiom method is a formal specif...
Jagadish Suryadevara, Lawrence Chung, R. K. Shyama...
Treemaps, a space-filling method of visualizing large hierarchical data sets, are receiving increasing attention. Several algorithms have been proposed to create more useful displ...
Benjamin B. Bederson, Ben Shneiderman, Martin Watt...