Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
In this contribution we introduce the Multiocular Contracting Curve Density algorithm (MOCCD), a novel method for fitting a 3D parametric curve. The MOCCD is integrated into a tr...
Emerging high speed networks will carry tra c for services such as video-on-demand and video teleconferencing that require resource reservation along the path on which the tra c i...
As high-end computing systems continue to grow in scale, recent advances in multiand many-core architectures have pushed such growth toward more denser architectures, that is, mor...
Pavan Balaji, Darius Buntinas, David Goodell, Will...
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...