Results 51 to 60 of about 961,218 (296)
Real-Time Algorithms for the Detection of Changes in the Variance of Video Content Popularity
IEEE Access, 2020 As video content is responsible for more than 70% of the global IP traffic, related resource allocation approaches, e.g., using content caching, become increasingly important.
Sotiris Skaperas +2 more
doaj +1 more source
Alexandria Engineering JournalUnderstanding how temporal precipitation variability will behave in the future is crucial. Change point detection and sub-trend analysis were done on monthly total precipitation data acquired from the Coordinated Regional Climate Downscaling Experiment ...
Cihangir Koycegiz
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Application of Change-Point Detection to a Structural Component of Water Quality Variables
, 2011 In this study, methodologies were developed in statistical time series models, such as multivariate state-space models, to be applied to water quality variables in a river basin.
Gonçalves, A. Manuela +7 more
core +1 more source
Deep unsupervised learning for 3D ALS point clouds change detection
ISPRS Open Journal of Photogrammetry and Remote Sensing, 2023 Change detection from traditional 2D optical images has limited capability to model the changes in the height or shape of objects. Change detection using 3D point cloud from photogrammetry or LiDAR surveying can fill this gap by providing critical depth ...
Iris de Gélis +5 more
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Model-Free Change Point Detection for Mixing Processes
IEEE Open Journal of Control SystemsThis paper considers the change point detection problem under dependent samples. In particular, we provide performance guarantees for the MMD-CUSUM test under exponentially $\alpha$, $\beta$, and fast $\phi$-mixing processes, which significantly expands ...
Hao Chen +3 more
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VEHICLE LOCALIZATION BY LIDAR POINT CORRELATION IMPROVED BY CHANGE DETECTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 LiDAR sensors are proven sensors for accurate vehicle localization. Instead of detecting and matching features in the LiDAR data, we want to use the entire information provided by the scanners.
A. Schlichting, C. Brenner
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Change point detection in risk adjusted control charts
, 2011 Precise identification of the time when a change in a clinical process has occurred enables experts to identify a potential special cause more effectively. In this article, we develop change point estimation methods for a clinical dichotomous process in
Kerrie Mengersen +5 more
core +1 more source
Differentially Private Change-Point Detection
CoRR, 2018 The change-point detection problem seeks to identify distributional changes at an unknown change-point k* in a stream of data. This problem appears in many important practical settings involving personal data, including biosurveillance, fault detection, finance, signal detection, and security systems.
Rachel Cummings +4 more
openaire +3 more sources
Bivariate change point detection: Joint detection of changes in expectation and variance [PDF]
Scandinavian Journal of Statistics, 2021 AbstractA method for change point detection is proposed. We consider a univariate sequence of independent random variables with piecewise constant expectation and variance, apart from which the distribution may vary periodically. We aim to detect change points in both expectation and variance.
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ruptures: change point detection in Python
CoRR, 2018 ruptures is a Python library for offline change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models.
Charles Truong +2 more
openaire +2 more sources