Computer Vision and Image Understanding, volume 249, pages 104152
A convex Kullback–Leibler optimization for semi-supervised few-shot learning
Publication type: Journal Article
Publication date: 2024-12-01
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SJR: 1.420
CiteScore: 7.8
Impact factor: 4.3
ISSN: 10773142, 1090235X
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Shi D., LUO Z., SHI D. A convex Kullback–Leibler optimization for semi-supervised few-shot learning // Computer Vision and Image Understanding. 2024. Vol. 249. p. 104152.
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Shi D., LUO Z., SHI D. A convex Kullback–Leibler optimization for semi-supervised few-shot learning // Computer Vision and Image Understanding. 2024. Vol. 249. p. 104152.
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TY - JOUR
DO - 10.1016/j.cviu.2024.104152
UR - https://linkinghub.elsevier.com/retrieve/pii/S1077314224002339
TI - A convex Kullback–Leibler optimization for semi-supervised few-shot learning
T2 - Computer Vision and Image Understanding
AU - Shi, D.
AU - LUO, ZHAOHUI
AU - SHI, DAMING
PY - 2024
DA - 2024/12/01
PB - Elsevier
SP - 104152
VL - 249
SN - 1077-3142
SN - 1090-235X
ER -
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@article{2024_Shi,
author = {D. Shi and ZHAOHUI LUO and DAMING SHI},
title = {A convex Kullback–Leibler optimization for semi-supervised few-shot learning},
journal = {Computer Vision and Image Understanding},
year = {2024},
volume = {249},
publisher = {Elsevier},
month = {dec},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1077314224002339},
pages = {104152},
doi = {10.1016/j.cviu.2024.104152}
}