73 citations · 90 across the 4 of their papers we have counts for
4 papers
A fast algorithm for computing distance correlation
Arin Chaudhuri, Wenhao Hu
Classical dependence measures such as Pearson correlation, Spearman's , and Kendall's can detect only monotonic or linear dependence. To overcome these limitations, Szekely…
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…
Variable selection using pseudo-variables
Wenhao Hu, Eric Laber, Leonard Stefanski
Penalized regression has become a standard tool for model building across a wide range of application domains. Common practice is to tune the amount of penalization to tradeoff bia…
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…