Results 31 to 40 of about 1,148,061 (201)
On Matched Filtering for Statistical Change Point Detection
IEEE Open Journal of Signal Processing, 2020 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 time makes them susceptible to false positives and localization ambiguity.
Kevin C. Cheng +3 more
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Semantic supported urban change detection using ALS point clouds
International Journal of Applied Earth Observations and Geoinformation, 2023 Airborne laser scanning (ALS) has experienced significant development and boosted widespread applications over the recent years. With increasing data quality and acquisition convenience, multi-temporal ALS point clouds have been used for change detection
Li Fang +4 more
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Ordinal pattern-based change point detection. [PDF]
Test (Madr)Abstract The ordinal patterns of a fixed number of consecutive values in a time series are the spatial ordering of these values. Counting how often a specific ordinal pattern occurs in a time series provides important insights into the properties of the time series.
Betken A, Micali G, Schmidt-Hieber J.
europepmc +6 more sources
Change Point Detection in Correlation Networks [PDF]
Scientific Reports, 2016 AbstractMany systems of interacting elements can be conceptualized as networks, where network nodes represent the elements and network ties represent interactions between the elements. In systems where the underlying network evolves, it is useful to determine the points in time where the network structure changes significantly as these may correspond ...
Barnett, Ian, Onnela, Jukka-Pekka
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Change-point detection in hierarchical circadian models [PDF]
Pattern Recognition, 2021 This paper addresses the problem of change-point detection on sequences of high-dimensional and heterogeneous observations, which also possess a periodic temporal structure. Due to the dimensionality problem, when the time between change-points is on the order of the dimension of the model parameters, drifts in the underlying distribution can be ...
Pablo Moreno-Muñoz +2 more
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, 2022 Change-point detection (CPD) is to find abrupt changes in time-series data. Various computational algorithms have been developed for CPD applications.
Zhu, Ying +3 more
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Testing Exchangeability With Martingale for Change-Point Detection [PDF]
International Journal of Ambient Computing and Intelligence, 2021 This work proposes a new exchangeability test for a random sequence through a martingale-based approach. Its main contributions include 1) an additive martingale which is more amenable for designing exchangeability tests by exploiting the Hoeffding-Azuma lemma and 2) different betting functions for constructing the additive martingale.
Liang Dai, Mohamed-Rafik Bouguelia
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Stability of change point detection methods [PDF]
, 2022 Change point detection is a common technique to analyse time-indexed data and today's literature offers a wide variety of methods for change point detection.
Mersmann, Sophia
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Challenges in anomaly and change point detection
ESANN 2022 proceedings, 2022 This paper presents an introduction to the state-of-the-art in anomaly and change-point detection. On the one hand, the main concepts needed to understand the vast scientific literature on those subjects are introduced. On the other, a selection of important surveys and books, as well as two selected active research topics in the field, are presented.
Madalina Olteanu +2 more
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Sequential subspace change point detection [PDF]
Sequential Analysis, 2020 We consider the online monitoring of multivariate streaming data for changes that are characterized by an unknown subspace structure manifested in the covariance matrix. In particular, we consider the covariance structure changes from an identity matrix to an unknown spiked covariance model.
Liyan Xie +2 more
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