Results
eNauka >
Results >
A graph model-based multiscale feature fitting method for unsupervised anomaly detection
| Title: | A graph model-based multiscale feature fitting method for unsupervised anomaly detection | Authors: | Zhang, Fanghui; Kan, Shichao; Zhang, Damin; Cen, Yigang; Zhang, Linna; Mladenovic, Vladimir M   |
Issue Date: | 2023 | Publication: | Pattern Recognition | ISSN: | 0031-3203 Pattern Recognition Search Idenfier |
Publisher: | Elsevier | Type: | Article | Collation: | vol. 138 str. 109373-109373 | DOI: | 10.1016/j.patcog.2023.109373 | WoS-ID: | 000943134600001 | Scopus-ID: | 2-s2.0-85147661694 | URI: | https://enauka.gov.rs/handle/123456789/826683 | Project: | Fundamental Research Funds for the Central Universities [2021QY002] National Natural Science Foundation of China [62062021, 62202499] Hunan Provincial Natural Sci-ence Foundation of China [2022JJ40632] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21aM21a |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.