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10/02/2019
Fault Detection Using Nonlinear Low-Dimensional Representation of Sensor Data
Sensor data analysis plays a key role in health assessment of critical e...
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02/01/2019
Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection
In recent years, there have been many practical applications of anomaly ...
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11/15/2018
The Trace Criterion for Kernel Bandwidth Selection for Support Vector Data Description
Support vector data description (SVDD) is a popular anomaly detection te...
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11/13/2018
A New SVDD-Based Multivariate Non-parametric Process Capability Index
Process capability index (PCI) is a commonly used statistic to measure a...
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03/08/2018
A New Bandwidth Selection Criterion for Analyzing Hyperspectral Data Using SVDD
This paper presents a method for hyperspectral image classification usin...
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09/01/2017
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Support vector data description (SVDD) is a machine learning technique t...
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08/16/2017
The Mean and Median Criterion for Automatic Kernel Bandwidth Selection for Support Vector Data Description
Support vector data description (SVDD) is a popular technique for detect...
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10/31/2016
Kernel Bandwidth Selection for SVDD: Peak Criterion Approach for Large Data
Support Vector Data Description (SVDD) provides a useful approach to con...
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07/26/2016
Leveraging Unstructured Data to Detect Emerging Reliability Issues
Unstructured data refers to information that does not have a predefined ...
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07/25/2016
A Non-Parametric Control Chart For High Frequency Multivariate Data
Support Vector Data Description (SVDD) is a machine learning technique u...
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06/16/2016
Sampling Method for Fast Training of Support Vector Data Description
Support Vector Data Description (SVDD) is a popular outlier detection te...
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02/17/2016
