Results 11 to 20 of about 4,030,812 (306)
Change Point Detection With Conceptors [PDF]
CoRR, 2023 Offline change point detection retrospectively locates change points in a time series. Many nonparametric methods that target i.i.d. mean and variance changes fail in the presence of nonlinear temporal dependence, and model based methods require a known,
N. Gade, J. Rodu
semanticscholar +3 more sources
Algebraic Change-Point Detection [PDF]
Applicable Algebra in Engineering, Communication and Computing, 2009 Elementary techniques from operational calculus, differential algebra, and noncommutative algebra lead to a new approach for change-point detection, which is an important field of investigation in various areas of applied sciences and engineering ...
Fliess, Michel +2 more
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Sketching for sequential change-point detection [PDF]
EURASIP Journal on Advances in Signal Processing, 2019 We present sequential change-point detection procedures based on linear sketches of high-dimensional signal vectors using generalized likelihood ratio (GLR) statistics.
Yang Cao +3 more
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Graph-Based Change-Point Detection [PDF]
The Annals of Statistics, 2014 We consider the testing and estimation of change-points -- locations where the distribution abruptly changes -- in a data sequence. A new approach, based on scan statistics utilizing graphs representing the similarity between observations, is proposed ...
Chen, Hao, Zhang, Nancy
core +7 more sources
Optimal change-point detection and localization [PDF]
The Annals of Statistics, 2020 Given a times series ${\bf Y}$ in $\mathbb{R}^n$, with a piece-wise contant mean and independent components, the twin problems of change-point detection and change-point localization respectively amount to detecting the existence of times where the mean ...
N. Verzelen +3 more
semanticscholar +6 more sources
3D Change Detection Using Adaptive Thresholds Based on Local Point Cloud Density
ISPRS International Journal of Geo-Information, 2021 In recent years, because of highly developed LiDAR (Light Detection and Ranging) technologies, there has been increasing demand for 3D change detection in urban monitoring, urban model updating, and disaster assessment.
Dan Liu +3 more
doaj +3 more sources
Change-Point Detection Using the Conditional Entropy of Ordinal Patterns [PDF]
Entropy, 2018 This paper is devoted to change-point detection using only the ordinal structure of a time series. A statistic based on the conditional entropy of ordinal patterns characterizing the local up and down in a time series is introduced and investigated.
Anton M. Unakafov, Karsten Keller
doaj +2 more sources
A Doubly Stochastic Change Point Detection Algorithm for Noisy Biological Signals [PDF]
Frontiers in Physiology, 2018 Experimentally and clinically collected time series data are often contaminated with significant confounding noise, creating short, noisy time series. This noise, due to natural variability and measurement error, poses a challenge to conventional change ...
Nathan Gold +4 more
doaj +2 more sources
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs [PDF]
ACM Transactions on Knowledge Discovery from Data, 2023 Dynamic graphs are rich data structures that are used to model complex relationships between entities over time. In particular, anomaly detection in temporal graphs is crucial for many real-world applications such as intrusion identification in network ...
Shenyang Huang +4 more
semanticscholar +1 more source
Automatic Change-Point Detection in Time Series via Deep Learning [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2022 Detecting change-points in data is challenging because of the range of possible types of change and types of behaviour of data when there is no change. Statistically efficient methods for detecting a change will depend on both of these features, and it
Jie Li +3 more
semanticscholar +1 more source