Abstract: This paper addresses the problem of selecting an optimal sampling set for signals on graphs. The proposed sampling set selection (SSS) is based on a localization operator that can consider ...
Abstract: Many classical Computer Vision problems, such as essential matrix computation and pose estimation from 3D to 2D correspondences, can be tackled by solving a linear least-square problem, ...
The hessian-eigenthings module provides an efficient (and scalable!) way to compute the eigendecomposition of the Hessian for an arbitrary PyTorch model. It uses PyTorch's Hessian-vector product and ...
The Oracle Database Documentation and other resources use these sample schemas to demonstrate the capabilities of Oracle Database and the SQL and PL/SQL languages ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...
Classical conditioning is a way to learn using unconscious associations. Pavlov discovered classical conditioning when dogs started to salivate at the sound of a bell before they got food. The ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
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