4 papers
The Trace Criterion for Kernel Bandwidth Selection for Support Vector Data Description
Arin Chaudhuri, Carol Sadek, Deovrat Kakde +6
Support vector data description (SVDD) is a popular anomaly detection technique. The SVDD classifier partitions the whole data space into an inlier region, which consists of the re…
Kernel Bandwidth Selection for SVDD: Peak Criterion Approach for Large Data
Sergiy Peredriy, Deovrat Kakde, Arin Chaudhuri
Support Vector Data Description (SVDD) provides a useful approach to construct a description of multivariate data for single-class classification and outlier detection with various…
A Non-Parametric Control Chart For High Frequency Multivariate Data
Deovrat Kakde, Sergriy Peredriy, Arin Chaudhuri +1
Support Vector Data Description (SVDD) is a machine learning technique used for single class classification and outlier detection. SVDD based K-chart was first introduced by Sun an…
Sampling Method for Fast Training of Support Vector Data Description
Arin Chaudhuri, Deovrat Kakde, Maria Jahja +4
Support Vector Data Description (SVDD) is a popular outlier detection technique which constructs a flexible description of the input data. SVDD computation time is high for large t…