3 papers
cs.CV2023
Systematic comparison of semi-supervised and self-supervised learning for medical image classification
Zhe Huang, Ruijie Jiang, Shuchin Aeron +1
In typical medical image classification problems, labeled data is scarce while unlabeled data is more available. Semi-supervised learning and self-supervised learning are two diffe…
eess.SP2020
On Matched Filtering for Statistical Change Point Detection
Kevin C. Cheng, Eric L. Miller, Michael C. Hughes +1
Non-parametric and distribution-free two-sample tests have been the foundation of many change point detection algorithms. However, randomness in the test statistic as a function of…
eess.SP2019
Optimal Transport Based Change Point Detection and Time Series Segment Clustering
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes +2
Two common problems in time series analysis are the decomposition of the data stream into disjoint segments that are each in some sense "homogeneous" - a problem known as Change Po…