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stat.AP2020
A Data-driven Change-point Estimator
Stefanie Schwaar
The q-weighted CUSUM and their corresponding estimator are well known statistics for change-point detection and estimation. They have the difficulty that the performance is highly…
stat.AP2018
Application of Clustering Methods to Anomaly Detection in Fibrous Media
Denis Dresvyanskiy, Tatiana Karaseva, Sergei Mitrofanov +4
The paper considers the problem of anomaly detection in 3D images of fibre materials. The spatial Stochastic Expectation Maximisation algorithm and Adaptive Weights Clustering are…