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pro vyhledávání: '"Sheriffdeen, Sheroze"'
Autor:
Dong, Erqun, Sheriffdeen, Sheroze, Yang, Shichao, Dong, Jing, De Nardi, Renzo, Ren, Carl, Chang, Xiao-Wen, Liu, Xue, Wang, Zijian
Robust, high-precision global localization is fundamental to a wide range of outdoor robotics applications. Conventional fusion methods use low-accuracy pseudorange based GNSS measurements ($>>5m$ errors) and can only yield a coarse registration to t
Externí odkaz:
http://arxiv.org/abs/2303.01291
Inverse problems are pervasive mathematical methods in inferring knowledge from observational and experimental data by leveraging simulations and models. Unlike direct inference methods, inverse problem approaches typically require many forward model
Externí odkaz:
http://arxiv.org/abs/1912.08864
Publikováno v:
Proceedings of Machine Learning Research 145 (2021) 1-40
In recent years, the field of machine learning has made phenomenal progress in the pursuit of simulating real-world data generation processes. One notable example of such success is the variational autoencoder (VAE). In this work, with a small shift
Externí odkaz:
http://arxiv.org/abs/1912.04212