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Data-driven deep density estimation

Published in arXiv (Cornell University) • Jul 23, 2021
NobleIDNI1P19W18R26S85
Authors:
Patrik Puchert
,
Pedro Hermosilla
,
Tobias Ritschel

Abstract

Density estimation plays a crucial role in many data analysis tasks, as it infers a continuous probability density function (PDF) from discrete samples. Thus, it is used in tasks as diverse as analyzing population data, spatial locations in 2D sensor readings, or reconstructing scenes from 3D scans....

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