Results 11 to 20 of about 12,450 (173)
Controlling cantilevered adaptive X-ray mirrors [PDF]
Journal of Synchrotron RadiationModeling the behavior of a prototype cantilevered X-ray adaptive mirror (held from one end) demonstrates its potential for use on high-performance X-ray beamlines.
Kenneth A. Goldberg, Kyle T. La Fleche
doaj +2 more sources
Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging Problems [PDF]
arXiv.orgLow-rank regularization-based deep unrolling networks have achieved remarkable success in various inverse imaging problems (IIPs). However, the singular value decomposition (SVD) is non-differentiable when duplicated singular values occur, leading to ...
Yinghao Zhang, Yue Hu
openalex +2 more sources
A Proposal for Homoskedastic Modeling With Conditional Auto‐Regressive Distributions [PDF]
Statistics in Medicine, Volume 44, Issue 25-27, November 2025.ABSTRACT Conditional auto‐regressive (CAR) distributions are widely used to deal with spatial dependence in the geographic analysis of areal data. These distributions establish multivariate dependence networks by defining conditional relationships between neighboring units, resulting in positive dependence among nearby observations.
Miguel A. Martinez‐Beneito +3 more
wiley +2 more sources
Accelerated RAKI reconstruction for multi‐slice cardiac cine applications [PDF]
Medical Physics, Volume 52, Issue 12, December 2025.Abstract Background Accelerated MRI reconstruction techniques are necessary to avoid long cardiac exams. K‐space‐based parallel imaging (PI) reconstruction has recently been adapted to deep learning with a scan‐specific training technique entitled scan‐specific robust artificial neural‐networks for k‐space interpolation (RAKI), which incorporates ...
Lucile Quillien +2 more
wiley +2 more sources
European Physical Journal C: Particles and FieldsThe Moore–Penrose algorithm provides a generalized notion of an inverse, applicable to degenerate matrices. In this paper, we introduce a covariant extension of the Moore–Penrose method that permits to deal with general relativity involving complex non ...
Arthur Garnier, Emmanuele Battista
doaj +2 more sources
A Note on Secure Computation of the Moore-Penrose Pseudoinverse and Its Application to Secure Linear Algebra [PDF]
Annual International Cryptology Conference, 2007 Ronald Cramer, Eike Kiltz, Carles Padró
openalex +2 more sources
Topologically Optimized Intrinsic Brain Networks [PDF]
Human Brain Mapping, Volume 46, Issue 17, 01 December 2025.Using the innate topological information from referenced intrinsic brain networks, this paper presents a novel method for enhancing brain network images. We show that this technique increases the contrast‐to‐noise ratio while also enhancing the subject variability.
Noah Lewis +4 more
wiley +2 more sources
Beyond Moore-Penrose: Sparse pseudoinverse
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2013 Ivan Dokmanić +2 more
openalex +3 more sources
Regression assessment of the model based on the experimental planning matrix in composite materials’ analysis problems [PDF]
E3S Web of Conferences, 2021 An automated coefficients calculation of the regression model based on the experimental data in the form of a planning matrix is considered. The calculations are based on polynomial regression with possible consideration of the interaction effects ...
Balatkhanova Elita +2 more
doaj +1 more source
Computing quaternion matrix pseudoinverse with zeroing neural networks
AIMS Mathematics, 2023 In recent years, it has become essential to compute the time-varying quaternion (TVQ) matrix Moore-Penrose inverse (MP-inverse or pseudoinverse) to solve time-varying issues in a range of disciplines, including engineering, physics and computer science ...
Vladislav N. Kovalnogov +6 more
doaj +1 more source