Results 11 to 20 of about 2,624,164 (273)
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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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
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
doaj +3 more sources
Long signal change-point detection [PDF]
Electronic Journal of Statistics, 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 +9 more sources
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 +4 more sources
Fréchet change-point detection [PDF]
The Annals of Statistics, 2020 We propose a method to infer the presence and location of change-points in the distribution of a sequence of independent data taking values in a general metric space, where change-points are viewed as locations at which the distribution of the data sequence changes abruptly in terms of either its Fr chet mean or Fr chet variance or both. The proposed
Dubey, Paromita, Müller, Hans-Georg
openaire +4 more sources
Change Point Detection Using Penalized Multidegree Splines
Axioms, 2021 We consider a function estimation method with change point detection using truncated power spline basis and elastic-net-type L1-norm penalty. The L1-norm penalty controls the jump detection and smoothness depending on the value of the parameter. In terms
Eun-Ji Lee, Jae-Hwan Jhong
doaj +1 more source
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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3D CHANGE DETECTION OF POINT CLOUDS BASED ON DENSITY ADAPTIVE LOCAL EUCLIDEAN DISTANCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 With the development of sensors and multi-view stereo matching technology, image-based dense matching point cloud data shares higher geometric accuracy and richer spectral information, and such data is therefore widely used in change detection-related ...
J. X. Chai, Y. S. Zhang, Z. Yang, J. Wu
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3D URBAN CHANGE DETECTION WITH POINT CLOUD SIAMESE NETWORKS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 As the majority of the earth population is living in urban environments, cities are continuously evolving and efficient monitoring tools are needed to retrieve and classify their evolution.
I. de Gélis +3 more
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