Results 21 to 30 of about 1,986,171 (336)
Remote Sensing, 2023 Multiview stereo (MVS) achieves efficient 3D reconstruction on Lambertian surfaces and strongly textured regions. However, the reconstruction of weakly textured regions, especially planar surfaces in weakly textured regions, still faces significant ...
Chuanyu Fu +6 more
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Random sets and exact confidence regions [PDF]
, 2013 An important problem in statistics is the construction of confidence regions for unknown parameters. In most cases, asymptotic distribution theory is used to construct confidence regions, so any coverage probability claims only hold approximately, for ...
Martin, Ryan
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Confidence Regions for Evolutionary Trajectories [PDF]
Biometrics, 1996 Summary: We derive confidence regions for the evolutionary trajectories derived from a model of \textit{S. Via} and \textit{R. Lande} [Evolution 39, 505-522 (1985)]. We utilize a nested, parametric bootstrap to calculate the confidence regions and show that a likelihood-based approach provides an unsatisfactory solution.
McCulloch, Charles E. +2 more
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Neutrosophic Probabilistic and Statistical Extensions of the NeutroMultiSpace Model for Blended Teaching Process in University Physical Education: A Novel Neutrosophic Modeling Framework [PDF]
Neutrosophic Sets and SystemsThis paper introduces a novel neutrosophic modeling framework to better understand and assess blended teaching in university physical education. The model is based on the NeutroMultiSpace structure, which combines in-person participation, digital ...
Guoquan Lin, Hongtao Guo, Ying Zheng
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The Comparison of the Confidence Regions in Phylogeny [PDF]
Molecular Biology and Evolution, 2005 In this paper, several different procedures for constructing confidence regions for the true evolutionary tree are evaluated both in terms of coverage and size without considering model misspecification. The regions are constructed on the basis of tests of hypothesis using six existing tests: Shimodaira Hasegawa (SH), SOWH, star form of SOWH (SSOWH ...
Xiaofei, Shi +3 more
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A characterization of the neural representation of confidence during probabilistic learning
NeuroImage, 2023 Learning in a stochastic and changing environment is a difficult task. Models of learning typically postulate that observations that deviate from the learned predictions are surprising and used to update those predictions. Bayesian accounts further posit
Tiffany Bounmy +2 more
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Confidence regions for level sets
Journal of Multivariate Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mammen, Enno, Polonik, Wolfgang
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IDENTIFICATION OF LOW ACCURACY REGIONS IN LAND COVER MAPS USING UNCERTAINTY MEASURES AND CLASSIFICATION CONFIDENCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this aim a soft Bayesian classifier was used, which enables
C. C. Fonte, L. M. S. Gonçalves
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Sensors, 2022 This paper presents deterioration level estimation based on convolutional neural networks using a confidence-aware attention mechanism for infrastructure inspection.
Naoki Ogawa +3 more
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Confidence regions for the multinomial parameter with small sample size [PDF]
, 2008 Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M(n,p) where p is an unknown discrete distribution on {1,...,d}. In many applications, the
Blyth C. R. +3 more
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