Results 71 to 80 of about 101,252 (223)
Lanc-FP: um algoritmo para problemas discretos mal-postos de grande porte [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas. Programa de Pós-Graduação em Matemática e Computação Científica.Problemas discretos mal-postos precisam ser regularizados para serem resolvidos ...
Borges, Leonardo Silveira
core
Differentiable Randers‐Finsler Eikonal Solvers
Abstract Fast and differentiable solvers for anisotropic and asymmetric distance fields are a key primitive in geometry processing, enabling gradient‐based optimization over metrics, drift fields, and downstream objectives that depend on geodesic distances and geodesics.
Barak Gahtan +2 more
wiley +1 more source
Estratégias de detecção de objetos baseadas num problema inverso de espalhamento e regularização [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas, Programa de Pós-Graduação em Matemática e Computação Científica, Florianópolis, 2011O problema inverso de espalhamento aqui considerado é ...
Pedroso, Viviam Giacomelli
core
A Multipath Error Reduction Method for BDS Using Tikhonov Regularization with Parameter Optimization
Multipath error is an important factor restricting the relative positioning accuracy of the Beidou Navigation Satellite System (BDS). Because of the complexity of the reflection environment, the mathematical modeling of multipath errors is quite ...
Xinzhong Li +5 more
doaj +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source
Comparative Systematic Analysis of Gray Matter Biophysical Models on a Public Dataset
ABSTRACT Purpose Biophysical models of diffusion tailored to characterize gray matter (GM) microstructure are gaining traction in the neuroimaging community. NEXI, SMEX, SANDI, and SANDIX represent recent efforts to account for different microstructural features, such as soma contributions and inter‐compartment exchange, in the diffusion MRI (dMRI ...
Santiago Mezzano +6 more
wiley +1 more source
Fractional Tikhonov regularization with a nonlinear penalty term [PDF]
Tikhonov regularization is one of the most popular methods for solving linear systems of equations or linear least-squares problems with a severely ill-conditioned matrix and an error-contaminated data vector (right-hand side).
Fiorella Sgallari +5 more
core +1 more source
Ultrasound computed tomography (USCT) is a promising technique for breast imaging. It provides three modalities: echo image, sound speed image (SSI), and attenuation image.
Zisheng Yao +3 more
doaj +1 more source
A multigrid for image deblurring with Tikhonov regularization [PDF]
AbstractIn the resolution of certain image deblurring problems with given boundary conditions we obtain two‐level structured linear systems. In the case of shift‐invariant point spread function with Dirichlet (zero) boundary conditions, the blurring matrices are block Toeplitz matrices with Toeplitz blocks. If the periodic boundary conditions are used,
openaire +2 more sources
ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Reza Ghorbani +4 more
wiley +1 more source

