Abstract We develop a distance metric for clustering and classification algorithms which is invariant to affine transformations and includes priors on the transformation parameters...
In the absence of real data for extensive testing of newly designed large-scale biometrics recognition systems a number of solutions are possible including use of resampling metho...
Registration is a fundamental task in image processing and quite a few registration techniques have been developed in various fields. In this paper we propose a novel graphreprese...
Bing Ma, Alfred O. Hero III, John D. Gorman, Olivi...
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
The seemingly simple choice of whether to use call variance or call subsumption in a tabled evaluation deeply affects an evaluation’s properties. Most tabling implementations hav...