Results 41 to 50 of about 4,030,812 (306)

What is the Point of Change? Change Point Detection in Relational Event Models

open access: yesSocial Networks, 2023
This paper presents an extension to the relational event model with change points (REM-CP) to study abrupt changes to social interaction behavior in temporal networks. A change point detection algorithm is proposed for exploring when and which network effects abruptly change, and a confirmatory approach to test the presence of a change point at a given
Shafiee Kamalabad, Mahdi   +2 more
openaire   +4 more sources

On Matched Filtering for Statistical Change Point Detection

open access: yesIEEE 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
doaj   +1 more source

Semantic supported urban change detection using ALS point clouds

open access: yesInternational 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
doaj   +1 more source

Laplacian Change Point Detection for Dynamic Graphs [PDF]

open access: yesKnowledge Discovery and Data Mining, 2020
Dynamic and temporal 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
Shenyang Huang   +3 more
semanticscholar   +1 more source

Sketching for sequential change-point detection [PDF]

open access: yes2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2015
We study sequential change-point detection using sketches (or linear projections) of the high-dimensional data vectors, and present a new sketching procedure, which is based on the generalized likelihood ratio statistic. We derive theoretical approximations to two fundamental performance metrics for the sketching procedures: the average run length (ARL)
Yao Xie 0002   +2 more
openaire   +2 more sources

Study on a mother wavelet optimization framework based on change-point detection of hydrological time series [PDF]

open access: yesHydrology and Earth System Sciences, 2023
Hydrological time series (HTS) are the key basis of water conservancy project planning and construction. However, under the influence of climate change, human activities and other factors, the consistency of HTS has been destroyed and cannot meet the ...
J. Li, J. Huang, L. Zheng, W. Zheng
doaj   +1 more source

Three Dimensional Change Detection Using Point Clouds: A Review

open access: yesGeomatics, 2022
Change detection is an important step for the characterization of object dynamics at the earth’s surface. In multi-temporal point clouds, the main challenge is to detect true changes at different granularities in a scene subject to significant noise and ...
Abderrazzaq Kharroubi   +4 more
doaj   +1 more source

Change-point detection in hierarchical circadian models [PDF]

open access: yesPattern 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
openaire   +3 more sources

Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation [PDF]

open access: yesIEEE Transactions on Signal Processing, 2020
Change point detection (CPD) aims to locate abrupt property changes in time series data. Recent CPD methods demonstrated the potential of using deep learning techniques, but often lack the ability to identify more subtle changes in the autocorrelation ...
Tim De Ryck, M. de Vos, A. Bertrand
semanticscholar   +1 more source

Long signal change-point detection [PDF]

open access: yes, 2015
The detection of change-points in a spatially or time ordered data sequence is an important problem in many fields such as genetics and finance.
Biau, Gérard   +2 more
core   +5 more sources

Home - About - Disclaimer - Privacy