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 ...
A well known challenge in the formal methods domain is to improve their integration with practical engineering methods. In the context of embedded systems, model checking requires ...
Philippe Dhaussy, Pierre Yves Pillain, Stephen Cre...
Flash memory in various embedded systems such as the backing memory is frequently used in an active type of RFID reader. Because batteries are used in a shifting environment and s...
TaeHoon Kim, KwangMu Shin, TaeHoon Lee, KiDong Jun...
Graph matching is an important component in many object recognition algorithms. Although most graph matching algorithms seek a one-to-one correspondence between nodes, it is often...
Yakov Keselman, Ali Shokoufandeh, M. Fatih Demirci...