Reconfigurable hardware resources are very expensive, and yet can be underutilized. This paper describes a middleware capable of discovering underutilized computing nodes with FPG...
Kris Gaj, Tarek A. El-Ghazawi, Nikitas A. Alexandr...
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Robust transmission of images is achieved by using xed and variable-length coding together without much loss in compression e ciency. The probability distribution function of a DC...
Abstract— This paper proposes a small-scale agile wall climbing robot able to navigate on smooth surfaces of any orientation, including vertical and inverted surfaces, which uses...
Michael P. Murphy, William Tso, Michael Tanzini, M...
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...