research
∙
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...
share
research
∙
03/08/2018
A New Bandwidth Selection Criterion for Analyzing Hyperspectral Data Using SVDD
This paper presents a method for hyperspectral image classification usin...
research
∙
09/01/2017
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Support vector data description (SVDD) is a machine learning technique t...
research
∙
06/16/2016
Sampling Method for Fast Training of Support Vector Data Description
Support Vector Data Description (SVDD) is a popular outlier detection te...
research
∙
02/17/2016
Peak Criterion for Choosing Gaussian Kernel Bandwidth in Support Vector Data Description
Support Vector Data Description (SVDD) is a machine-learning technique u...
research
∙
10/19/2015
Modularity Component Analysis versus Principal Component Analysis
In this paper the exact linear relation between the leading eigenvectors...
research
∙
05/09/2015