Results 51 to 60 of about 447,526 (198)
Stochastic collocation on unstructured multivariate meshes
, 2015 Collocation has become a standard tool for approximation of parameterized systems in the uncertainty quantification (UQ) community. Techniques for least-squares regularization, compressive sampling recovery, and interpolatory reconstruction are becoming ...
Narayan, Akil, Zhou, Tao
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AUTOMATIC MUSIC TRANSCRIPTION USING ROW WEIGHTED DECOMPOSITIONS [PDF]
, 2013 (c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
IEEE, O'Hanlon, K, Plumbley, MD
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Total least-squares EIO model, algorithms and applications
Geodesy and Geodynamics, 2019 A functional model named EIO (Errors-In-Observations) is proposed for general TLS (total least-squares) adjustment. The EIO model only considers the correction of the observation vector, but doesn't consider to correct all elements in the design matrix ...
Xingsheng Deng +3 more
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Algorithms and literate programs for weighted low-rank approximation with missing data
, 2011 Linear models identification from data with missing values is posed as a weighted low-rank approximation problem with weights related to the missing values equal to zero.
B Moor De +12 more
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Molecules, 2018 Background: Pu-erh tea is a unique microbially fermented tea, which distinctive chemical constituents and activities are worthy of systematic study. Near infrared spectroscopy (NIR) coupled with suitable chemometrics approaches can rapidly and accurately
Ze Liu +3 more
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Convex Total Least Squares [PDF]
, 2014 We study the total least squares (TLS) problem that generalizes least squares regression by allowing measurement errors in both dependent and independent variables. TLS is widely used in applied fields including computer vision, system identification and
Malioutov, Dmitry M., Slavov, Nikolai
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The Improvement Based on the DV-Hop Localization Algorithm for Wireless Sensor Networks
Journal of Harbin University of Science and Technology, 2018 As the problems of lower localization accuracy appeared in the traditional DV-Hop algorithm，the author analyzed three main factors that influence the localization accuracy of original DV-Hop algorithm which started from the calculation of the average ...
DONG Jing-wei +3 more
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Spatial variation of total column ozone on a global scale
, 2007 The spatial dependence of total column ozone varies strongly with latitude, so that homogeneous models (invariant to all rotations) are clearly unsuitable.
Stein, Michael L.
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Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI
, 2019 Purpose: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted magnetic resonance imaging (DW-MRI) data and evaluates its performance ...
Barbieri, Sebastiano +3 more
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, 2016 ENO (Essentially Non-Oscillatory) and WENO (Weighted Essentially Non-Oscillatory) schemes are widely used high-order schemes for solving partial differential equations (PDEs), especially hyperbolic conservation laws with piecewise smooth solutions.
Jiao, Xiangmin, Liu, Hongxu
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