We propose a generic algorithmic model called STAMP (Synchronous, Transactional, and Asynchronous MultiProcessing) as a universal performance and power complexity model for multit...
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
In this paper we describe a model of clinical information designed to make health information systems properly interoperable and safely computable. The model is a response to a nu...
This paper presents a novel algorithm for 2D planar curve recognition based on B-Spline modeling. It combines the advantages of the B-Spline that are continuous curve representati...