This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
Abstract. This paper presents an efficient parallel algorithm for volume rendering of large-scale datasets. Our algorithm focuses on an optimization technique, namely early ray te...
The main goal of this paper is to develop deeper insights into viable placement-level optimization of routing. Two primary contributions are made. First, an experimental framework...
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
Abstract--The current framework of network utility maximization for rate allocation and its price-based algorithms assumes that each link provides a fixed-size transmission "p...