Kriging Riemannian Data via Random Domain Decompositions
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2020.1853548
Abstract: Abstract Data taking value on a Riemannian manifold and observed over a complex spatial domain are becoming more frequent in applications, for example, in environmental sciences and in geoscience. The analysis of these data needs… read more here.
Keywords: kriging riemannian; riemannian data; local models; random domain ... See more keywords
Learning With Dual Demonstration Domains: Random Domain-Adaptive Meta-Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3145088
Abstract: Although robots have been widely applied in various fields, allowing a robot to perform a wide range of tasks like humans is a significant challenge. One promising method is meta-learning, which enables robots to learn… read more here.
Keywords: demonstration; domain adaptive; meta learning; adaptive meta ... See more keywords