566 citations · 685 across the 13 of their papers we have counts for
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cs.LG2020
Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection
Kai Ming Ting, Bi-Cun Xu, Takashi Washio +1
We introduce Isolation Distributional Kernel as a new way to measure the similarity between two distributions. Existing approaches based on kernel mean embedding, which convert a p…
cs.LG2020
A new effective and efficient measure for outlying aspect mining
Durgesh Samariya, Sunil Aryal, Kai Ming Ting
Outlying Aspect Mining (OAM) aims to find the subspaces (a.k.a. aspects) in which a given query is an outlier with respect to a given dataset. Existing OAM algorithms use tradition…