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Published in 2025 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.70056
Abstract: A new sparse recursive filtering is suggested for the efficient inference of the joint posterior of the number of change points and their locations. The computational and storage costs of the sparse recursive filtering are…
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Keywords:
sparse recursive;
point detection;
bayesian change;
change point ... See more keywords
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Published in 2020 at "ELECTROPHORESIS"
DOI: 10.1002/elps.201900399
Abstract: A novel combination of CE‐based separation techniques was used for the precise fractionation of ionic compounds from impurities. The combination of on‐capillary concentration and separation using transient isotachophoresis, with multiple injections and a two‐point detection…
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Keywords:
detection system;
fluorescent;
transient isotachophoresis;
two point ... See more keywords
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Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7151
Abstract: Many functional neuroimaging-based studies involve repetitions of a task that may require several phases, or states, of mental activity. An appealing idea is to use relevant brain regions to identify the states. We developed a…
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Keywords:
functional neuroimaging;
methodology;
change;
change point ... See more keywords
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Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-019-03936-1
Abstract: This paper presents a novel initial dominant point detection technique for polygonal approximation in digital planar curves. This technique concentrates on the local and global deviation of the curve and detects the dominant point of…
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Keywords:
heuristic method;
initial dominant;
point detection;
point ... See more keywords
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Published in 2017 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-016-0883-8
Abstract: Estimating image vanishing points has many applications in the computer vision field, such as robotic navigation, visual measurement, camera calibration, 3D reconstruction and augmented reality, which requires a balance between accuracy and rate. In this…
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Keywords:
vanishing point;
bpso;
vanishing points;
point detection ... See more keywords
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Published in 2018 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2018.07.007
Abstract: Abstract The mechanical deformation of workpieces due to tightening is a common phenomenon in most assembly processes. Such deformation is typically characterized on the basis of a few critical points from sensing signals during process…
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Keywords:
mechanical deformation;
point detection;
point;
critical point ... See more keywords
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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-92470-y
Abstract: In order to behave appropriately in a rapidly changing world, individuals must be able to detect when changes occur in that environment. However, at any given moment, there are a multitude of potential changes of…
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Keywords:
point detection;
change point;
evaluation;
evidence ... See more keywords
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Published in 2024 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2024.2392903
Abstract: Abstract Data heterogeneity is a challenging issue for modern statistical data analysis. There are different types of data heterogeneity in practice. In this article, we consider potential structural changes and complicated tail distributions. There are…
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Keywords:
quantile;
point detection;
change point;
regression ... See more keywords
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Published in 2020 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2019.1710505
Abstract: Recent advances have greatly facilitated the collection of high-dimensional data in many fields. Often the dimension of the data is much larger than the sample size, the so-called high dimension, low sample size setting. One…
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Keywords:
point detection;
change;
change point;
interpoint ... See more keywords
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Published in 2025 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2025.2485278
Abstract: Abstract Detecting change points is crucial in analyzing time series data and single-subject designs. This study investigates factors influencing change point detection through visual perception by employing a visual inference experiment. Participants were tasked with…
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Keywords:
visual inference;
point detection;
change point;
change ... See more keywords
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Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac783f
Abstract: Objective. A significant challenge in surface electromyography (EMG) is the accurate identification of onset and offset of muscle activation while maintaining high real-time performance. Teager–Kaiser energy operator (TKEO) is widely used in muscle activity monitoring…
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Keywords:
change;
change point;
detection;
point detection ... See more keywords