We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
This paper addresses the problem of similar image retrieval, especially in the setting of large-scale datasets with millions to billions of images. The core novel contribution is ...
In this paper we propose a credal representation of the interval probability associated with a belief function (b.f.), and show how it relates to several classical Bayesian transfo...
The Data Grid, like all other collaboration models, has strict rules for contributors to follow and many criteria to abide with. Namespace is one of the rules that govern the contr...
We propose a conceptually and technically neat method to identify known semantic patterns close to a novel pattern. This occurs in the context of a system to acquire knowledge inc...
Sylvain Delisle, Terry Copeck, Stan Szpakowicz, Ke...