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Joao P C

As seen in: arXiv, MDPI
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Articles

AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance

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By Joao P C, Dick Ameln, Ashwin Vaidya, Samet Akçay
| arXiv
Open access is only possible with YOUR support. Give to arXiv this week to help keep science open for all.
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IJMS | Free Full-Text | Editorial: Photodynamic Therapy as an Important Tool for Biological Breakthroughs-Photoactive Photosensitizers Applied from Cancer to Microbial Targets

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By Augusto C. Tomé, Leandro M. O, Joao P C
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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[2308.04944] Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection

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By Joao P C
| arXiv
arXiv:2308.04944 (cs) Download a PDF of the paper titled Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection, by Tetiana Gula and 1 other authors Download PDF Submission history From: Tetiana Gula [ view email] [v1] Wed, 9 Aug 2023 13:19:28 UTC (26,455 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Links to Code Toggle...
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