46 citations · 81 across the 4 of their papers we have counts for
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…
A new bandwidth selection criterion for using SVDD to analyze hyperspectral data
Yuwei Liao, Deovrat Kakde, Arin Chaudhuri +3
This paper presents a method for hyperspectral image classification that uses support vector data description (SVDD) with the Gaussian kernel function. SVDD has been a popular mach…
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…
A Case Study in Text Mining: Interpreting Twitter Data From World Cup Tweets
Daniel Godfrey, Caley Johns, Carl Meyer +2
Cluster analysis is a field of data analysis that extracts underlying patterns in data. One application of cluster analysis is in text-mining, the analysis of large collections of…