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Comparison of classic and novel change point detection methods for time series with changes in varianceSegmentation or change point detection is a very common topic in time series analysis, anomaly
Расширение знаний о раннем обнаружении появляющихсяThe reasons for the development of software for early detection of emerging changes are presented
Asymptotically optimal pointwise and minimax change-point detection for general stochastic models with a composite post-change hypothesisA weighted Shiryaev–Roberts change detection procedure is shown to approximately minimize
A method of semantic change detection using diachronic corpora data© Springer Nature Switzerland AG 2020. The article proposes a method for detecting semantic change
Hybrid landscape change detection methods in a noisy data environmentThe most used in practice land cover change detection methods by remote sensing data are considered
Asymptotically optimal pointwise and minimax quickest change-point detection for dependent dataWe consider the quickest change-point detection problem in pointwise and minimax settings
Detection of Bulbar Dysfunction in ALS Patients Based on Running Speech TestThis paper deals with detection of speech changes due to amyotrophic lateral sclerosis (ALS
Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series of change process. To date, no robust approach exists to detect when agricultural land abandonment occurred
Quickest change-point detection in time series with unknown distributionsWe consider a problem of sequential detection of
Minimax and pointwise sequential changepoint detection and identification for general stochastic modelsThis paper considers the problem of joint change detection and identification assuming multiple
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