Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
This paper describes an approach to automatically learn planning operators by observing expert solution traces and to further refine the operators through practice in a learning-b...
This article explores a dual approach to real-time software development. Models are written in UML, as this is expected to be relatively easy and economic. Then models are automat...
Luigi Lavazza, Gabriele Quaroni, Matteo Venturelli
The method of microtubule tracking and dynamics analysis, presented here, improves upon the current means of manual and automated quantification of microtubule behavior. Key contr...
Motaz A. El Saban, Alphan Altinok, Austin J. Peck,...
We present an efficient algorithm for nonlocal image filtering with applications in electron cryomicroscopy. Our denoising algorithm is a rewriting of the recently proposed nonloc...