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ACM Computing Surveys (CSUR), ISSN 0360-0300, 07/2009, Volume 41, Issue 3, pp. 1 - 58
Anomaly detection is an important problem that has been researched within diverse research areas and application domains... 
outlier detection | Anomaly detection | Outlier detection | SYSTEM | DISTANCE-BASED OUTLIERS | NOVELTY DETECTION | DENSITY-ESTIMATION | CLASSIFICATION | SELF | Algorithms | UNSUPERVISED OUTLIER DETECTION | INTRUSION-DETECTION | TIME-SERIES | NEURAL-NETWORK | COMPUTER SCIENCE, THEORY & METHODS
Journal Article
ACM Transactions on Knowledge Discovery from Data (TKDD), ISSN 1556-4681, 03/2012, Volume 6, Issue 1, pp. 1 - 39
Anomalies are data points that are few and different. As a result of these properties, we show that, anomalies are susceptible to a mechanism called isolation... 
random tree ensemble | binary tree | isolation forest | ensemble methods | isolation | outlier detection | Anomaly detection | Design | Experimentation | Algorithms | COMPUTER SCIENCE, SOFTWARE ENGINEERING | SUPPORT | DISTANCE-BASED OUTLIERS | COMPUTER SCIENCE, INFORMATION SYSTEMS | Data points | Forests | Data mining | Density | Anomalies
Journal Article
Journal of network and computer applications, ISSN 1084-8045, 2013, Volume 36, Issue 1, pp. 16 - 24
Journal Article
2014, ISBN 9781466582088, xxv, 340
"This book discusses detection of anomalies in computer networks from a machine learning perspective... 
COMPUTERS / Machine Theory | Machine learning | COMPUTERS / Security / Cryptography | COMPUTERS / Security / General | Computer networks | Security measures | Intrusion detection systems (Computer security)
Book
Journal Article
Signal processing. Image communication, ISSN 0923-5965, 2016, Volume 47, pp. 358 - 368
Abnormal behavior detection in crowded scenes is extremely challenging in the field of computer vision due to severe inter-object occlusions, varying crowd densities and the complex mechanics of a human crowd... 
Spatial–temporal CNN | Crowded scene | Surveillance | Anomaly detection | Spatial-temporal CNN | EVENT DETECTION | MOTION | MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC | Machine vision | Neural networks | Analysis
Journal Article
Remote sensing (Basel, Switzerland), ISSN 2072-4292, 2015, Volume 7, Issue 10, pp. 12680 - 12703
Detecting and modeling urban furniture are of particular interest for urban management and the development of autonomous driving systems... 
MLS | 3D point cloud | Pole-like objects | Feature extraction | Pattern recognition | Clustering | Anomaly detection | SYSTEM | RECOGNITION | anomaly detection | REMOTE SENSING | TREES | pole-like objects | feature extraction | SEMIAUTOMATED EXTRACTION | clustering | pattern recognition | MOBILE | Trees | Poles | Automation | Algorithms | Lasers | Classification | Three dimensional models | Anomalies
Journal Article
ACM Computing Surveys (CSUR), ISSN 0360-0300, 11/2015, Volume 48, Issue 2, pp. 1 - 33
.... Such malicious data injections can be particularly difficult to detect if multiple sensors have been compromised as they could emulate plausible sensor behaviour such as failures or detection of events where none occur... 
correlation | Wireless sensor networks | security | Security | Correlation | Measurement | SYSTEM | MANAGEMENT | DATA-ANOMALY DETECTION | Algorithms | ATTESTATION | ATTACK | COMPUTER SCIENCE, THEORY & METHODS | DATA AGGREGATION | TRUST | Surveys | Sensors | Spyware | Measuring instruments
Journal Article
Pattern recognition, ISSN 0031-3203, 01/2014, Volume 47, Issue 1, pp. 344 - 358
For hyperspectral target detection, it is usually the case that only part of the targets pixels can be used as target signatures, so can we use them to construct the most proper background subspace... 
Subspace learning | Hyperspectral images | Target detection | FUSION | MODELS | LINEAR DISCRIMINANT-ANALYSIS | ANOMALY DETECTION | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Detectors | Construction | Dynamics | Mathematical analysis | Subspaces | Pixels | Image detection
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 05/2019, Volume 41, Issue 5, pp. 1088 - 1101
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 11/2014, Volume 52, Issue 11, pp. 6844 - 6857
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2017, Volume 262, pp. 134 - 147
....•Anomaly detection with Hierarchical Temporal Memory (HTM) is a state-of-the-art, online, unsupervised method... 
Benchmark dataset | Streaming data | Concept drift | Hierarchical Temporal Memory | Anomaly detection | Unsupervised learning | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Algorithms | Analysis | Detectors
Journal Article
Journal Article