We describe a methodology for retrieving document images from large extremely diverse collections. First we perform content extraction, that is the location and measurement of reg...
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...
Jinxiu Chen, Dong-Hong Ji, Chew Lim Tan, Zheng-Yu ...
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
Large-scale individual-based simulations can benefit a lot from high performance computing environments. The benefit that can be hopped depends greatly on a good load distributi...
With the ubiquity of information networks and their broad applications, the issue of similarity computation between entities of an information network arises and draws extensive r...