We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
The exponential growth of databases that contains biological information (such as protein and DNA data) demands great efforts to improve the performance of computational platforms...
Abstract—We develop and evaluate a new method for estimating and optimizing various performance metrics for multihop wireless networks, including MANETs. We introduce an approxim...
John S. Baras, Vahid Tabatabaee, George Papageorgi...
We present a novel Evaluation Metric for Morphological Analysis (EMMA) that is both linguistically appealing and empirically sound. EMMA uses a graphbased assignment algorithm, op...
Abstract--This letter analyzes the impact, from a networklayer perspective, of having a single cognitive radio transmitterreceiver pair share the spectrum with multiple primary use...
Ioannis Krikidis, Natasha Devroye, John S. Thompso...