Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
Abstract. Many applications of 3D object recognition, such as augmented reality or robotic manipulation, require an accurate solution for the 3D pose of the recognized objects. Thi...
Abstract. This paper presents a framework of specification and verification for distributed real-time object-oriented systems. An earlier paper [17] introduced a process calculus...
Abstract. Distributed moving object database servers are a feasible solution to the scalability problem of centralized database systems. In this paper we propose a distributed inde...
Parametric representation of fuzzy numbers (PFN) with derived methods for performing fuzzy arithmetic proves to have better accuracy and similar computational speed to using trian...