Ph.D. Thesis Abstract: Generalizable and robust machine learning with imperfect data supervision

Authors

Shuo Yang (ORCID: https://orcid.org/0000-0003-1582-7724)

Publication Details

Journal: Journal and proceedings of the Royal Society of New South Wales
Published: 2024-12-01
DOI: https://doi.org/10.5962/p.433077
Primary Topic: Face and Expression Recognition
Type: article
Field-Weighted Citation Impact: 0.00

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article

Ph.D. Thesis Abstract: Generalizable and robust machine learning with imperfect data supervision

Shuo Yang

Dec 1, 2024

Journal and proceedings of the Royal Society of New South Wales

Face and Expression Recognition

article

Ph.D. Thesis Abstract: Generalizable and robust machine learning with imperfect data supervision

Shuo Yang

December 1, 2024article en

Abstract

No abstract available for this paper.

Journal and proceedings of the Royal Society of New South WalesVol. 157(2)

Openalex Percentile: Top 69%

Face and Expression Recognition

DOI Open Access PDF OpenAlex

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Ph.D. Thesis Abstract: Generalizable and robust machine learning with imperfect data supervision — Shuo Yang · Journal and proceedings of the Royal Society of New South Wales (2024) | TGRS Research Map | TGRS