56 citations · 143 across the 12 of their papers we have counts for
Showing 2017Show all
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stat.ML2017★ 15 cited
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Hansi Jiang, Haoyu Wang, Wenhao Hu +2
Support vector data description (SVDD) is a machine learning technique that is used for single-class classification and outlier detection. The idea of SVDD is to find a set of supp…
cs.LG2017★ 27 cited
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…