AnomalyDetection相关论文
在自动化工业检测中,通常需要在无异常图像上训练模型并对产品进行异常检测,这在计算机视觉领域中是一项重要并具有挑战性的任务.......
Collaborative representation with background purification and saliency weight for hyperspectral anom
Collaborative representation-based detection (CRD) has been developed in hyperspectral anomaly detection tasks and testi......
Anomaly detection has practical signifi-cance for finding unusual patterns in time series.How-ever,most existing algorit......
Industrial Control Systems (ICSs) are the lifeline of a country.Therefore,the anomaly detection of ICS traffic is an imp......
Anomaly detection in smart grid is critical to enhance the reliability of power systems.Excessive manpower has to be inv......
As an important technique for managing and maintaining civil infrastructure,structural health monitoring(SHM)has been ap......
入侵检测技术是现代计算机系统安全技术中的重要组成部分,而检测部分对整个系统而言极为重要.在隐马尔可夫模型(HMM)的入侵检测系......
This paper discusses four algorithms for detecting anomalies in logs of process aware systems.One of the algorithms only......
针对现有的高光谱图像异常检测算法大多只注重挖掘目标与背景光谱上的差异,而忽略二者在空间结构上的差异,导致检测结果不佳的问题......
及时、准确的异常航空器轨迹检测是提高飞行安全的关键.然而,目前用于异常检测的统计和机器学习方法不能很好地表征航空器轨迹的特......
高光谱图像具有越来越高的空间和光谱分辨率,其带来了数据量大、相关性强和冗余度高的问题,使得异常检测结果精度不高。为了选择更......
针对利用稀疏表示进行高光谱图像异常目标检测效率不高的问题,基于高光谱图像成像原理和图像结构,充分利用高光谱图像的空间特性和......
A critical review of intrusion detection systems in the internet of things:techniques,deployment str
The Internet of Things(IoT)has been rapidly evolving towards making a greater impact on everyday life to large industria......
传统的基于鲁棒主成分分析的高光谱异常探测模型中,稀疏异常矩阵假设为非低秩且其非零元素满足随机分布条件。这导致稀疏矩阵的非......
The reliability of the on-wing aircraft Auxiliary Power Unit (APU) decides the cost and the comfort of flight to a large......
Anomaly detection has been an essential and dynamic research area in the data mining.A wide range of applications includ......
