Abstract--This paper proposes a new approach, coupling physical models and image estimation techniques, for modelling the movement of fluids. The fluid flow is characterized by tur...
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
Abstract. Device drivers often keep data in multiple data structures simultaneously while embedding list or tree related records into the records containing the actual data; this r...
An innovative technique to model and simulate partial and dynamic reconfigurable processors is presented in this paper. The basis for development is a SystemC kernel modified for ...