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we propose using regularization to improve the image quality of muon tomography. We formulate the muon reconstruction problem in a Bayesian framework by introducing a prior distribution on scattering ...

Abstract: In this paper, a two-stage BEM-OTFS channel sparse Bayesian learning (SBL) estimation algorithm is proposed to address the problem of increasing error of ...

For the latest release MiDaS 3.1, a technical report and video are available. MiDaS was trained on up to 12 datasets (ReDWeb, DIML, Movies, MegaDepth, WSVD, TartanAir, HRWSI, ApolloScape, BlendedMVS, ...

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient ...