In this paper, we present a novel active contour model, in which the traditional gradient descent optimization is replaced by graph cut optimization. The basic idea is to first de...
Hang Chang, Qing Yang, Manfred Auer, Bahram Parvin
Abstract— In this paper we analyze the positioning of landmarks in coordinates-based Internet distance prediction approaches with focus on Global Network Positioning (GNP). We sh...
This paper deals with the use of parallel processing for multi-objective optimization in applications in which the objective functions, the restrictions, and hence also the soluti...
This paper proposes an immune concentration based virus detection approach which utilizes a two-element concentration vector to construct the feature. In this approach, ‘self’ ...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...