Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
In this effort, a data-driven and application independent technique to combine focal information from different focal planes is presented. Input images, acquired by imaging system...
Harishwaran Hariharan, Andreas Koschan, Mongi A. A...
In this paper we propose a signal-to-interference (SIR)-based distributed Call Admission Control (CAC) strategy that considers the combined effect of both call and packet level qu...
Tanzilah Noor Shabnam, Md. Imdadul Islam, M. R. Am...
The aim of this paper is to show how abduction can be used in classification tasks when we deal with incomplete data. Some classifiers, even if based on decision tree induction lik...
—This paper focus on noncooperative iris recognition, i.e., the capture of iris images at large distances, under less controlled lighting conditions, and without active participa...