Articles with "point detection" as a keyword



Bayesian Change Point Detection via a Generic Sparse Recursive Filter

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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… read more here.

Keywords: sparse recursive; point detection; bayesian change; change point ... See more keywords

Purification of anionic fluorescent probes through precise fraction collection with a two‐point detection system using multiple‐stacking preparative capillary transient isotachophoresis

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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… read more here.

Keywords: detection system; fluorescent; transient isotachophoresis; two point ... See more keywords
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Change-point detection of cognitive states across multiple trials in functional neuroimaging.

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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… read more here.

Keywords: functional neuroimaging; methodology; change; change point ... See more keywords

A heuristic method for initial dominant point detection for polygonal approximations

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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… read more here.

Keywords: heuristic method; initial dominant; point detection; point ... See more keywords

Vanishing point detection and line classification with BPSO

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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… read more here.

Keywords: vanishing point; bpso; vanishing points; point detection ... See more keywords

A novel critical point detection method for mechanical deformation in tightening processes

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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… read more here.

Keywords: mechanical deformation; point detection; point; critical point ... See more keywords
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Change point detection with multiple alternatives reveals parallel evaluation of the same stream of evidence along distinct timescales

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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… read more here.

Keywords: point detection; change point; evaluation; evidence ... See more keywords

Efficient Multiple Change Point Detection and Localization For High-Dimensional Quantile Regression with Heteroscedasticity

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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… read more here.

Keywords: quantile; point detection; change point; regression ... See more keywords
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Asymptotic distribution-free change-point detection based on interpoint distances for high-dimensional data

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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… read more here.

Keywords: point detection; change; change point; interpoint ... See more keywords

Can You See The Change? Change Point Detection Using Visual Inference

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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… read more here.

Keywords: visual inference; point detection; change point; change ... See more keywords

Comparison of different algorithms based on TKEO for EMG change point detection

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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… read more here.

Keywords: change; change point; detection; point detection ... See more keywords