Data-driven deep density estimation
Published in Neural Computing and Applications • Jul 21, 2021
Authors:,,
Patrik Puchert
Pedro Hermosilla
Tobias Ritschel
Abstract
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 ...
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