Results 21 to 30 of about 4,063,811 (360)

A COMPUTATION PERSPECTIVE FOR THE EIGENVALUES OF CIRCULANT MATRICES INVOLVING GEOMETRIC PROGRESSION

open access: yesJurnal Matematika UNAND, 2023
In this article, the eigenvalues and inverse of circulant matrices with entries in the first row having the form of a geometric sequence are formulated explicitly in a simple form in one theorem. The method for deriving the formulation of the determinant
SISWANDI SISWANDI   +3 more
doaj   +1 more source

Deep Convolutional Neural Network for Inverse Problems in Imaging [PDF]

open access: yesIEEE Transactions on Image Processing, 2016
In this paper, we propose a novel deep convolutional neural network (CNN)-based algorithm for solving ill-posed inverse problems. Regularized iterative algorithms have emerged as the standard approach to ill-posed inverse problems in the past few decades.
Kyong Hwan Jin   +3 more
semanticscholar   +1 more source

On the graph condition regarding the $F$-inverse cover problem [PDF]

open access: yes, 2015
In their paper titled "On $F$-inverse covers of inverse monoids", Auinger and Szendrei have shown that every finite inverse monoid has an $F$-inverse cover if and only if each finite graph admits a locally finite group variety with a certain property. We
Szakács, Nóra
core   +2 more sources

Modeling Indirect Illumination for Inverse Rendering [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
Recent advances in implicit neural representations and differentiable rendering make it possible to simultaneously recover the geometry and materials of an object from multi-view RGB images captured under unknown static illumination.
Yuanqing Zhang   +5 more
semanticscholar   +1 more source

Inverse optimal transport [PDF]

open access: yes, 2019
Discrete optimal transportation problems arise in various contexts in engineering, the sciences and the social sciences. Often the underlying cost criterion is unknown, or only partly known, and the observed optimal solutions are corrupted by noise.
Stuart, Andrew M.   +1 more
core   +3 more sources

Mathematical Formulation of Dmh-Based Inverse Optimization

open access: yesFrontiers in Oncology, 2014
Purpose: To introduce the concept of dose-mass based inverse optimization for radiotherapy applications.Materials and Methods: Mathematical derivation of the dose-mass based formalism is presented. This mathematical representation is compared to the most
Ivaylo eMihaylov, Eduardo eMoros
doaj   +1 more source

An introduction to inverse probability of treatment weighting in observational research

open access: yesClinical Kidney Journal, 2021
In this article we introduce the concept of inverse probability of treatment weighting (IPTW) and describe how this method can be applied to adjust for measured confounding in observational research, illustrated by a clinical example from nephrology ...
N. Chesnaye   +6 more
semanticscholar   +1 more source

Robust Constrained Inverse Beamforming Algorithm Based on Space Time Adaptive Processing

open access: yesIEEE Access, 2019
The power of Beidou satellite signals is very low, so it is vulnerable to interfering sources and in the presence of jamming. Therefore, a robust constrained inverse beamforming algorithm based on space-time adaptive processing is proposed, which can not
Yanping Liao   +3 more
doaj   +1 more source

Feedback methods for inverse simulation of dynamic models for engineering systems applications [PDF]

open access: yes, 2011
Inverse simulation is a form of inverse modelling in which computer simulation methods are used to find the time histories of input variables that, for a given model, match a set of required output responses.
Anonymous   +20 more
core   +1 more source

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

open access: yesStatistics in Medicine, 2015
The propensity score is defined as a subject's probability of treatment selection, conditional on observed baseline covariates. Weighting subjects by the inverse probability of treatment received creates a synthetic sample in which treatment assignment ...
P. Austin, E. Stuart
semanticscholar   +1 more source

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