Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
Motivation: With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building litera...
Manabu Torii, Zhang-Zhi Hu, Min Song, Cathy H. Wu,...
Three modular reduction algorithms for large integers are compared with respect to their performance in portable software: the classical algorithm, Barrett’s algorithm and Montgo...
In this paper, an efficient global algorithm for vectorizing line drawings is presented. It first extracts a seed segment of a graphic entity from a raster image to obtain its dir...
Jiqiang Song, Feng Su, Jibing Chen, Chiew-Lan Tai,...