This paper presents a robust and efficient skeleton-based graph matching method for object recognition and recovery applications. The novel feature is to unify both object recogni...
The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...
It has been shown that features can be selected adaptively for object tracking in changing environments [1]. We propose to use the variance of Mutual Information [2] for online fea...
Abstract We present the semantics and proof system for an objectoriented language with active objects, asynchronous method calls, and futures. The language, based on Creol, disting...
Frank S. de Boer, Dave Clarke, Einar Broch Johnsen
— We present techniques for analyzing the source code of distributed Java applications, and building finite models of their behaviour. The models are labelled transition systems...