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of 4
pro vyhledávání: '"Baobing Zhang"'
Uncertainty estimation is a critical component of building safe and reliable machine learning models. Accurate estimation of uncertainties is essential for identifying and mitigating potential risks and ensuring that machine learning systems operate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f75d66a5f54ff8d2b2c42afff6d431a
https://doi.org/10.36227/techrxiv.22324951.v1
https://doi.org/10.36227/techrxiv.22324951.v1
Publikováno v:
Computing & Informatics; 2023, Vol. 42 Issue 2, p457-479, 23p
Publikováno v:
MATEC Web of Conferences, Vol 277, p 01003 (2019)
© 2019 The Authors. Most existing multi-person tracking approaches are affected by lighting condition, pedestrian pose change abruptly, scale changes, realtime processing to name a few, resulting in detection error, drift and other issues. To cope w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e682028feaf36f90eb60da379a87ebef
https://bura.brunel.ac.uk/handle/2438/23122
https://bura.brunel.ac.uk/handle/2438/23122
Publikováno v:
Concurrency and Computation: Practice and Experience. 30:e4917