In this paper, we propose a new type of image feature, which consists of patterns of colors and intensities that capture the latent associations among images and primitive feature...
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
Understanding an enterprise’s workforce and skill-set can be seen as the key to understanding an organization’s capabilities. In today’s large organizations it has become inc...
This paper presents an algorithm for unsupervised noun sense induction, based on clustering of Web search results. The algorithm does not utilize labeled training instances or any...
Goldee Udani, Shachi Dave, Anthony Davis, Tim Sibl...
Abstract. This paper examines technology developed to support largescale distributed digital libraries. We describe the method used for harvesting collection information using stan...