Hierarchical Change-Detection Tests.
IEEE Transactions on Neural Networks and Learning Systems（2017）
摘要
We present hierarchical change-detection tests (HCDTs), as effective online algorithms for detecting changes in datastreams. HCDTs are characterized by a hierarchical architecture composed of a detection layer and a validation layer. The detection layer steadily analyzes the input datastream by means of an online, sequential CDT, which operates as a low-complexity trigger that promptly detects pos...
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关键词
Monitoring,Change detection algorithms,Computer architecture,Algorithm design and analysis,Delays,Learning systems,Big data
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