Results 31 to 40 of about 5,912,392 (297)
Real‐Time Thermospheric Density Estimation via Two‐Line Element Data Assimilation
Space Weather, 2020 Inaccurate estimates of the thermospheric density are a major source of error in low Earth orbit prediction. Therefore, real‐time density estimation is required to improve orbit prediction.
David J. Gondelach, Richard Linares
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Advances in Convolution Neural Networks Based Crowd Counting and Density Estimation
Big Data and Cognitive Computing, 2021 Automatically estimating the number of people in unconstrained scenes is a crucial yet challenging task in different real-world applications, including video surveillance, public safety, urban planning, and traffic monitoring.
Rafik Gouiaa +2 more
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Density Estimation for RWRE [PDF]
Mathematical Methods of Statistics, 2019 We consider the problem of non-parametric density estimation of a random environment from the observation of a single trajectory of a random walk in this environment. We first construct a density estimator using the beta-moments. We then show that the Goldenshluger-Lepski method can be used to select the beta-moment.
Havet, Antoine +2 more
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Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression
IEEE Transactions on Knowledge and Data Engineering, 2020 Current local density-based anomaly detection methods are limited in that the local density estimation and the neighborhood density estimation are not accurate enough for complex and large databases, and the detection performance depends on the size ...
Weiming Hu +5 more
semanticscholar +1 more source
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 In real-world crowd counting applications, the crowd densities vary greatly in spatial and temporal domains. A detection based counting method will estimate crowds accurately in low density scenes, while its reliability in congested areas is downgraded ...
Jiang Liu +3 more
semanticscholar +1 more source
Ecosphere, 2021 Passive acoustic monitoring (PAM) offers opportunities to collect data on the occurrence of vocal species for long periods of time, at multiple locations, and under a range of environmental conditions.
H. Bailey +7 more
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Scale and Background Aware Asymmetric Bilateral Network for Unconstrained Image Crowd Counting
Mathematics, 2022 This paper attacks the two challenging problems of image-based crowd counting, that is, scale variation and complex background. To that end, we present a novel crowd counting method, called the Scale and Background aware Asymmetric Bilateral Network ...
Gang Lv +4 more
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Nonparametric density estimation for high‐dimensional data—Algorithms and applications [PDF]
WIREs Computational Statistics, 2019 Density estimation is one of the central areas of statistics whose purpose is to estimate the probability density function underlying the observed data.
Zhipeng Wang, D. W. Scott
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Bagging of density estimators [PDF]
Computational Statistics, 2019 In this work we give new density estimators by averaging classical density estimators such as the histogram, the frequency polygon and the kernel density estimators obtained over different bootstrap samples of the original data. We prove the L 2-consistency of these new estimators and compare them to several similar approaches by extensive simulations.
Bourel, Mathias, Cugliari, Jairo
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Statistical Science, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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