Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. This paper proposes a new particle swarm variant whi...
Abstract. In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical...
The discovery of new and potentially meaningful relationships between concepts in the biomedical literature has attracted the attention of a lot of researchers in text mining. The ...
Margherita Berardi, Michele Lapi, Pietro Leo, Corr...
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
A new parallel algorithm for signal processing and a parallel systolic architecture of a robust constant false alarm rate (CFAR) processor with post-detection integration and adap...
Ivan Garvanov, Christo A. Kabakchiev, Plamen Daska...