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"Bayesian Gabor Network with Uncertainty Estimation for Pedestrian Lane" by Hoang Thanh Le, Son Lam Phung et al.

Automatic pedestrian lane detection is a challenging problem that is of great interest in assistive navigation and autonomous driving. Such a detection system must cope well with variations in lane surfaces and illumination conditions so that a vision-impaired user can navigate safely in unknown environments. This paper proposes a new lightweight Bayesian Gabor Network (BGN) for camera-based detection of pedestrian lanes in unstructured scenes. In our approach, each Gabor parameter is represente...
Bayesian Gabor Network Assistive And Autonomous Navigation Bayes Methods Bayesian Gabor Network Image Segmentation Lane Detection
Source: uow.edu.au

New research shows that near-term quantum computers can learn to reason

Apr 1, 2021 03:18 EDT with 3 comments The applications and development of quantum computers have steadily picked up pace in the last few years. Weve seen researchers applying this novel method of computation in a variety of domains including quantum chemistry, fluid dynamics research, open problems, and even machine learning, all with promising results. Continuing this trend, UK-based startup Cambridge Quantum Computing (CQC) has now demonstrated that quantum computers "can learn ...
United Kingdom Mattia Fiorentini Kernelized Stein Bayesian Networks United Kingdom Based Cambridge Quantum Computing
Source: neowin.net

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