Results 31 to 40 of about 1,053,925 (307)
Volume Data Denoising via Extended Weighted Least Squares
IEEE Access, 2019 During the data acquisition procedure, volume data are usually contaminated by noises. This would create visual confusion and misunderstanding in analyzing the volume data.
Huanhuan Zhang +4 more
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Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals [PDF]
Computational Economics, 2021 AbstractWe consider inference for linear regression models estimated by weighted-average least squares (WALS), a frequentist model averaging approach with a Bayesian flavor. We propose a new simulation method that yields re-centered confidence and prediction intervals by exploiting the bias-corrected posterior mean as a frequentist estimator of a ...
De Luca G., Magnus J., Peracchi F.
openaire +5 more sources
Communication efficient distributed weighted non-linear least squares estimation
EURASIP Journal on Advances in Signal Processing, 2018 The paper addresses design and analysis of communication-efficient distributed algorithms for solving weighted non-linear least squares problems in multi-agent networks.
Anit Kumar Sahu +3 more
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Multivariate approximation of functions on irregular domains by weighted least-squares methods [PDF]
IMA Journal of Numerical Analysis, 2019 We propose and analyse numerical algorithms based on weighted least squares for the approximation of a bounded real-valued function on a general bounded domain $\varOmega \subset \mathbb{R}^d$. Given any $n$-dimensional approximation space $V_n \subset
G. Migliorati
semanticscholar +1 more source
Application of the Iterated Weighted Least-Squares Fit to counting experiments [PDF]
, 2019 Least-squares fits are an important tool in many data analysis applications. In this paper, we review theoretical results, which are relevant for their application to data from counting experiments.
Dembinski, Hans +2 more
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Semi-Global Weighted Least Squares in Image Filtering [PDF]
IEEE International Conference on Computer Vision, 2017 Solving the global method of Weighted Least Squares (WLS) model in image filtering is both time- and memory-consuming. In this paper, we present an alternative approximation in a time- and memory- efficient manner which is denoted as Semi-Global Weighed ...
W. Liu +4 more
semanticscholar +1 more source
PERFORMING IMPROVED TWO-STEP CAMERA CALIBRATION WITH WEIGHTED TOTAL LEAST-SQUARES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 In order to improve the Tsai's two-step camera calibration method, we present a camera model which accounts for major sources of lens distortion, namely: radial, decentering, and thin prism distortions.
J. Lu
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Greedy Sensor Selection for Weighted Linear Least Squares Estimation Under Correlated Noise
IEEE Access, 2022 Optimization of sensor selection has been studied to monitor complex and large-scale systems with data-driven linear reduced-order modeling. An algorithm for greedy sensor selection is presented under the assumption of correlated noise in the sensor ...
Keigo Yamada +3 more
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Optimal weighted least-squares methods [PDF]
, 2016 We consider the problem of reconstructing an unknown bounded function $u$ defined on a domain $X\subset \mathbb{R}^d$ from noiseless or noisy samples of $u$ at $n$ points $(x^i)_{i=1,\dots,n}$. We measure the reconstruction error in a norm $L^2(X,d\rho)$
A. Cohen, G. Migliorati
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Adaptive Approximation by Optimal Weighted Least-Squares Methods [PDF]
SIAM Journal on Numerical Analysis, 2018 Given any domain $X\subseteq \mathbb{R}^d$ and a probability measure $\rho$ on $X$, we study the problem of approximating in $L^2(X,\rho)$ a given function $u:X\to\mathbb{R}$, using its noiseless pointwise evaluations at random samples.
G. Migliorati
semanticscholar +1 more source