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Education and Innovation in Embedded Systems Design

USI Università della Svizzera italiana, USI Faculty of Informatics, Advanced Learning and Research Institute USI Università della Svizzera italiana USI Faculty of Informatics USI Advanced Learning and Research Institute
TitleA Pdf-free Change Detection Test Based on Density Difference Estimation
Publication TypeJournal Article
Year of Publication2018
AuthorsBo, L., C. Alippi, and D. Zhao
JournalIEEE Transactions on Neural Networks and Learning Systems
Volume29
Start Page324
Issue2
Pagination 324 - 334
Date Published11/2016
Abstract

The ability to detect 1 online changes in stationarity or time variance in a data stream is a hot research topic with striking implications. In this paper, we propose a novel probability density function-free change detection test, which is based on the least squares density-difference estimation method and operates online on multidimensional inputs. The test does not require any assumption about the underlying data distribution, and is able to operate immediately after having been configured by adopting a reservoir sampling mechanism. Thresholds requested to detect a change are automatically derived once a false positive rate is set by the application designer. Comprehensive experiments validate the effectiveness in detection of the proposed method both in terms of detection promptness and accuracy.

DOI10.1109/TNNLS.2016.2619909