Instance-Level Cost-Sensitive Hypergraph Learning With Quality-Aware Structure Judgement for Anomaly Detection
- DOI
- 10.1109/tpami.2026.3679048
- Published
- 2026-10
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3679048,
title = {Instance-Level Cost-Sensitive Hypergraph Learning With Quality-Aware Structure Judgement for Anomaly Detection},
author = {Nan Wang and Xibin Zhao and Yue Gao},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3679048},
url = {https://doi.org/10.1109/tpami.2026.3679048}
}RIS
TY - JOUR TI - Instance-Level Cost-Sensitive Hypergraph Learning With Quality-Aware Structure Judgement for Anomaly Detection AU - Nan Wang AU - Xibin Zhao AU - Yue Gao PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3679048 UR - https://doi.org/10.1109/tpami.2026.3679048 ER -
APA
Wang, N., Zhao, X., & Gao, Y. (2026). Instance-Level Cost-Sensitive Hypergraph Learning With Quality-Aware Structure Judgement for Anomaly Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3679048
Source records
- crossref · retrieved 2026-11-10T09:34:13.459Z