Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

IT white papers, webcasts, case studies, and much more - all free to registered TechRepublic members. Follow the steps in this checklist to get the most out of your company’s iOS devices ...

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 ...

In this paper, a Bayesian inversion based Multi-sensor Fusion Localization (BIMFL) algorithm is proposed to enhance the performance of underwater fusion positioning. The proposed algorithm combines ...

is a regularization technique in regression that applies a penalty term to shrink certain regression coefficients, facilitating variable selection and model simplification, while preserving high ...

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, ...

For example, in Circuit two Corners cannot be adjacent, yet they can be connected with a Connection tile, and diagonal tracks cannot change direction. WFC algorithm in higher dimensions works ...