Open AccessTrajectory Optimization via Unsupervised Probabilistic Learning On Manifolds
Author(s) -
Joshua Ortiz,
Michael Grant,
Kelli McCoy,
Michael J. Sparapany,
Roger Ghanem,
Habib N. Najm,
Cosmin Safta
Publication year - 2021
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - Uncategorized
Resource type - Reports
DOI - 10.2172/1821958
Subject(s) - diffusion map , probabilistic logic , curse of dimensionality , computer science , outlier , trajectory , path (computing) , graph , artificial intelligence , algorithm , set (abstract data type) , pattern recognition (psychology) , nonlinear dimensionality reduction , dimensionality reduction , theoretical computer science , physics , astronomy , programming language
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