We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
In this paper we propose a general framework to solve the articulated shape matching problem, formulated as finding point-to-point correspondences between two shapes represented b...
Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond ...
Many applications in a variety of scientific domains produce datasets that consist of a data field lying on a sampling grid that may not be uniformly spaced. However, progressive ...
Distributed real-time embedded systems have stringent requirements for key performance properties, such as endto-end timeliness and reliability, in order to operate properly. In r...
— The paper presents a software architecture for Distributed Timed Multitasking - a new model of computation that can be used to engineer open, and the same time, predictable emb...