This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
UML semantic variation points provide intentional degrees of freedom for the interpretation of the metamodel semantics. The interest of semantic variation points is that UML now b...
In this paper we reformulate the 3D reconstruction of deformable surfaces from monocular video sequences as a labeling problem. We solve simultaneously for the assignment of featu...
Abstract. Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiti...
We describe the Timed Input/Output Automata (TIOA) framework, a general mathematical framework for modeling and analyzing real-time systems. It is based on timed I/O automata, whi...
Dilsun Kirli Kaynar, Nancy A. Lynch, Roberto Segal...