NobleBlocks
Public

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 ...

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!