We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
In this paper, we study the problem of achieving efficient interaction in a distributed scheduling system whose scheduling agents may borrow resources from one another. Specifical...
Daniel E. Neiman, David W. Hildum, Victor R. Lesse...
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
Abstract Weproposeacomputationalmodelofcontourintegration for visual saliency. The model uses biologically plausible devices to simulate how the representations of elements aligned...
Recently, the formal approach of I–Systems has been newly hed through an abstract axiomatic system where events in system components are solely derived and defined from their b...
Arnim Wedig, Horst F. Wedde, Anca M. Lazarescu, El...