Adaptive Anomaly Detection with Kernel Eigenspace Splitting and Merging

Keywords

Anomaly detection, Kernel principal component analysis, Computer science, Kernel (algebra), Kernel method

References

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• Moving window kernel PCA for adaptive monitoring of nonlinear processesXueqin Liu, Uwe Krüger, Tim Littler — 2009
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• A Compressed PCA Subspace Method for Anomaly Detection in High-Dimensional DataQi Ding, Eric D. Kolaczyk — 2011
• Input space versus feature space in kernel-based methodsBernhard Schölkopf, S. Mika, Christopher J. C. Burges — 1999
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• Ensuring high sensor data quality through use of online outlier detection techniquesYang Zhang, Nirvana Meratnia, Paul Havinga — 2010
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• Anomaly detection: A surveyVarun Chandola, Arindam Banerjee, Vipin Kumar — 2009
• An Efficient Approach for Outlier Detection with Imperfect Data LabelsBo Liu, Yanshan Xiao, Philip S. Yu — 2014
• Estimating the Support of a High-Dimensional DistributionBernhard Schölkopf, John Platt, John Shawe‐Taylor — 2001
• Nonlinear Component Analysis as a Kernel Eigenvalue ProblemBernhard Schölkopf, Alexander J. Smola, Klaus‐Robert Müller — 1998
• Adding and subtracting eigenspaces with eigenvalue decomposition and singular value decompositionPeter Hall, David Marshall, Ralph R. Martin — 2002

Cited by

• Infinite max-margin factor analysis via data augmentationXuefeng Zhang, Bo Chen, Hongwei Liu — 2016
• A QR Decomposition Approach for Improved Anomaly Detection over Non-linear DataLince Rachel, N. Sudha — 2015
• Anomaly detection in non-stationary and distributed environmentsColin O’Reilly — 2014
• Rare category exploration via wavelet analysis: Theory and applicationsZhenguang Liu, Kevin Chiew, Luming Zhang — 2016
• Univariate and Multivariate Time Series Manifold LearningColin O’Reilly, Klaus Moessner, Michele Nati — 2017
• Pashto spoken digits recognition using spectral and prosodic based feature extractionShibli Nisar, Ibrahim Shahzad, Muhammad Adnan Khan — 2017
• Multi-View Low-Rank Analysis with Applications to Outlier DetectionSheng Li, Ming Shao, Yun Fu — 2018
• Generative Adversarial Active Learning for Unsupervised Outlier DetectionYezheng Liu, Zhe Li, Chong Zhou — 2018
• EADetection: An efficient and accurate sequential behavior anomaly detection approach over data streamsLi Cheng, Yijie Wang, Yong Zhou — 2018
• A generic database indexing framework for large-scale geographic knowledge graphsYuhan Sun, Mohamed Sarwat — 2018
• Anomaly Detection Using Local Kernel Density Estimation and Context-Based RegressionWeiming Hu, Jun Gao, Bing Li — 2020
• Hyperspectral Anomaly Detection Using Combined Similarity CriteriaMaryam Vafadar, Hassan Ghassemian — 2018
• Adaptive Online Learning With Regularized Kernel for One-Class ClassificationChandan Gautam, Aruna Tiwari, Suresh Sundaram — 2021
• Online and Unsupervised Anomaly Detection for Streaming Data Using an Array of Sliding Windows and PDDsLingyu Zhang, Jiabao Zhao, Wei Li — 2019
• Nonlinear Polynomial Graph Filter for Anomalous IoT Sensor Detection and LocalizationZhenlong Xiao, He Fang, Xianbin Wang — 2020
• MIM-Based Generative Adversarial Networks and Its Application on Anomaly DetectionRui She, Pingyi Fan — 2020
• Anomalous IoT Sensor Data Detection: An Efficient Approach Enabled by Nonlinear Frequency-Domain Graph AnalysisZhenlong Xiao, He Fang, Xianbin Wang — 2021
• A deep hypersphere approach to high-dimensional anomaly detectionJian Zheng, Hongchun Qu, Zhaoni Li — 2022
• Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active LearningZhi Chen, Jiang Duan, Kang Li — 2021
• STEAMCODER: Spatial and Temporal Adaptive Dynamic Convolution Autoencoder for Anomaly DetectionPeng Xu, Honglu Gan, Hua Fu — 2023

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