Identifying rare categories is an important data management problem in many application fields including video surveillance, ecological environment ...
Abstract—Identifying rare categories is an important data management problem in many application fields including video surveillance, ecological environment ...
May 25, 2021 · We propose a lightweight rare category identification framework. At the sensor side, the designed online algorithm filters less informative data instances from ...
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This paper discusses the technology, data and ground surface-velocity models to be used in addressing the identification/detection inference problem engendered ...
Oct 22, 2024 · Identifying rare categories is an important data management problem in many application fields including video surveillance, ...
Yufei Cui , Qiao Li , Sarana Nutanong, Chun Jason Xue: Online Rare Category Detection for Edge Computing. DATE 2019: 1269-1272.
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...
Identifying rare categories is an important data management problem in many application fields including video surveillance, ecological environment ...
Mar 29, 2022 · In this paper, we focus on evolution of anomaly detection followed by survey of various methodologies developed to detect anomalies in intelligent video ...
This paper begins with a summary of the detection methods and applications, accompanied by a discussion of the categorization of IoT anomaly detection ...