56 citations · 143 across the 12 of their papers we have counts for
5 papers · 1 filter
The Mean and Median Criterion for Automatic Kernel Bandwidth Selection for Support Vector Data Description
Arin Chaudhuri, Deovrat Kakde, Carol Sadek +2
Support vector data description (SVDD) is a popular technique for detecting anomalies. The SVDD classifier partitions the whole space into an inlier region, which consists of the r…
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…
Peak Criterion for Choosing Gaussian Kernel Bandwidth in Support Vector Data Description
Deovrat Kakde, Arin Chaudhuri, Seunghyun Kong +3
Support Vector Data Description (SVDD) is a machine-learning technique used for single class classification and outlier detection. SVDD formulation with kernel function provides a…