1 code implementation • 5 Aug 2019 • Albert Shaw, Daniel Hunter, Forrest Iandola, Sammy Sidhu
For real time applications utilizing Deep Neural Networks (DNNs), it is critical that the models achieve high-accuracy on the target task and low-latency inference on the target computing platform.
Ranked #64 on Semantic Segmentation on Cityscapes val (using extra training data)
no code implementations • 27 Mar 2013 • Daniel Hunter
This paper describes a formal system of belief revision developed by Wolfgang Spohn and shows that this system has a parallel implementation that can be derived from an influence diagram in a manner similar to that in which Bayesian networks are derived.
no code implementations • 27 Mar 2013 • Daniel Hunter
It is argued that maximum entropy is a dynamic theory and that a complete theory of uncertain reasoning can be gotten by combining maximum entropy inference with probability theory, which is a static theory.
no code implementations • 27 Mar 2013 • Daniel Hunter
The combination of evidence in Dempster-Shafer theory is compared with the combination of evidence in probabilistic logic.