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A Minimum Rare-Itemset-Based Anomaly Detection Method and Its Application on Sensor Data Stream.

S. Cai, R. Sun, H. Mu, X. Shi, и G. Yuan. ChineseCSCW, том 1042 из Communications in Computer and Information Science, стр. 116-130. Springer, (2019)

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Huiyu Tian

Meiru Mu

Qipeng Mu

Xiaoke Mu

Sijia Mu

Другие публикации лиц с тем же именем

Abnormal Human Behavior Detection in Videos: A Review.H. Mu, R. Sun, G. Yuan, и Y. Wang. Inf. Technol. Control., 50 (3): 522-545 (2021)Positive unlabeled learning-based anomaly detection in videos.H. Mu, R. Sun, G. Yuan, и G. Shi. Int. J. Intell. Syst., 36 (8): 3767-3788 (2021)Crowd behavior detection in videos using statistical physics.H. Mu, R. Sun, G. Yuan, J. Li, и M. Wang. ICDM (Workshops), стр. 389-397. IEEE, (2021)Intelligent abnormal behavior detection using double sparseness method.H. Mu, R. Sun, Z. Chen, и J. Qin. Appl. Intell., 53 (7): 7728-7740 (апреля 2023)Adaptive density peak clustering based on dimensional-free and reverse k-nearest neighbors.Q. Wu, Q. Zhang, R. Sun, L. Li, H. Mu, и F. Shang. Inf. Technol. Control., 49 (3): 395-411 (2020)A Minimum Rare-Itemset-Based Anomaly Detection Method and Its Application on Sensor Data Stream.S. Cai, R. Sun, H. Mu, X. Shi, и G. Yuan. ChineseCSCW, том 1042 из Communications in Computer and Information Science, стр. 116-130. Springer, (2019)Robust Adaptive Semi-supervised Classification Method based on Dynamic Graph and Self-paced Learning.L. Li, K. Zhao, J. Gan, S. Cai, T. Liu, H. Mu, и R. Sun. Inf. Process. Manag., 58 (1): 102433 (2021)Selection Biased Positive and Unlabeled Learning Method for Anomaly Detection in Surveillance Videos.F. Shang, H. Mu, S. Qi, и R. Sun. CSCWD, стр. 849-854. IEEE, (2021)Feature genes selection based on fuzzy neighborhood conditional entropy.J. Xu, Y. Wang, H. Mu, и F. Huang. J. Intell. Fuzzy Syst., 36 (1): 117-126 (2019)Spatio-temporal graph-based CNNs for anomaly detection in weakly-labeled videos.H. Mu, R. Sun, M. Wang, и Z. Chen. Inf. Process. Manag., 59 (4): 102983 (2022)

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