Reconfigurable architectures enable the hardware function to be implemented by the user and, due to its characteristics, have been used in many areas, including Bioinformatics. One...
The paper is an overview of a recently developed compilation data structure for graphical models, with specific application to constraint networks. The AND/OR Multi-Valued Decision...
Many applications on blog search and mining often meet the challenge of handling huge volume of blog data, in which one single blog could contain hundreds or even thousands of ent...
Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun, Rong ...
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
Reed-Solomon codes are an important class of error correcting codes used in many applications related to communications and digital storage. The fundamental operations in Reed-Sol...
Suman Mamidi, Daniel Iancu, Andrei Iancu, Michael ...