Results 101 to 110 of about 163,323 (140)

Hyperspectral Image Reconstruction Using Deep External and Internal Learning

IEEE International Conference on Computer Vision, 2019
To solve the low spatial and/or temporal resolution problem which the conventional hypelrspectral cameras often suffer from, coded snapshot hyperspectral imaging systems have attracted more attention recently.
Tao Zhang, Ying Fu, Lizhi Wang, Hua Huang   +3 more
semanticscholar   +1 more source

On the clustering of stationary points of Tikhonov’s functional for conditionally well-posed inverse problems

, 2020
In a Hilbert space, we consider a class of conditionally well-posed inverse problems for which the Hölder type estimate of conditional stability on a bounded closed and convex subset holds. We investigate a finite-dimensional version of Tikhonov’s scheme
M. Kokurin
semanticscholar   +1 more source

Well-posed questions for ill-posed inverse problems: a note in memory of Pierre Sabatier

Inverse Problems
Professor Pierre Sabatier contributed much to the study of inverse problems in theory and practice. Two of these contributions were a focus on theory that actually supports practice, and the identification of well-posed aspects of inverse problems that ...
Gaoming Chen, Fadil Santosa, W. Symes
semanticscholar   +1 more source

Adaptive Nesterov momentum method for solving ill-posed inverse problems

Inverse Problems
Nesterov’s acceleration strategy is renowned in speeding up the convergence of gradient-based optimization algorithms and has been crucial in developing fast first order methods for well-posed convex optimization problems. Although Nesterov’s accelerated
Qinian Jin
semanticscholar   +1 more source

Distributed Tikhonov regularization for ill-posed inverse problems from a Bayesian perspective

Computational optimization and applications
In this article, we exploit the similarities between Tikhonov regularization and Bayesian hierarchical models to propose a regularization scheme that acts like a distributed Tikhonov regularization where the amount of regularization varies from component
D. Calvetti, E. Somersalo
semanticscholar   +1 more source

Non-convex optimization for inverse problem solving in computer-generated holography

Light: Science & Applications
Computer-generated holography is a promising technique that modulates user-defined wavefronts with digital holograms. Computing appropriate holograms with faithful reconstructions is not only a problem closely related to the fundamental basis of ...
Xiaomeng Sui, Zehao He, Daping Chu, Liangcai Cao   +3 more
semanticscholar   +1 more source

On the global minimization of discretized residual functionals of conditionally well-posed inverse problems

Journal of Global Optimization, 2022
M. Kokurin
semanticscholar   +1 more source

Valuation of volatility derivatives as an inverse problem

, 2005
P. Friz, Jim Gatheral
semanticscholar   +1 more source

Improving the Spatial Solution of Electrocardiographic Imaging: A New Regularization Parameter Choice Technique for the Tikhonov Method

Functional Imaging and Modeling of the Heart, 2017
J. Chamorro-Servent, R. Dubois, M. Potse, Y. Coudière   +3 more
semanticscholar   +1 more source

Estimation of Electrical Source Localization Using the Temporal Correlation between Magnetic Field Measurements

, 1995
T. Obi, N. Ohyama, Masahiro Yamaguchi, K. Sekihara   +3 more
semanticscholar   +1 more source