Pages that link to "Item:Q3116478"
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The following pages link to Designing Optimal Spectral Filters for Inverse Problems (Q3116478):
Displaying 18 items.
- A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems (Q746299) (← links)
- A new class of invertible FIR filters for spectral shaping (Q1032366) (← links)
- Optimal filters from calibration data for image deconvolution with data acquisition error (Q1932994) (← links)
- Learning nonlocal regularization operators (Q2119430) (← links)
- Optimal regularized low rank inverse approximation (Q2512812) (← links)
- Optimal Low-rank Approximations of Bayesian Linear Inverse Problems (Q3452481) (← links)
- A bilevel approach for parameter learning in inverse problems (Q4687575) (← links)
- Learning regularization parameters of inverse problems via deep neural networks (Q5157862) (← links)
- Modern regularization methods for inverse problems (Q5230515) (← links)
- Optimal Regularized Inverse Matrices for Inverse Problems (Q5270416) (← links)
- Learning regularization parameters for general-form Tikhonov (Q5348006) (← links)
- Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems (Q5372624) (← links)
- Hybrid projection methods for large-scale inverse problems with mixed Gaussian priors (Q5854067) (← links)
- Learning spectral windowing parameters for regularization using unbiased predictive risk and generalized cross validation techniques for multiple data sets (Q6042376) (← links)
- Bilevel inverse problems in neuromorphic imaging (Q6050817) (← links)
- Invertible residual networks in the context of regularization theory for linear inverse problems (Q6141568) (← links)
- An optimisation framework for the development of explicit discrete forward and inverse filters (Q6158541) (← links)
- Convergent data-driven regularizations for CT reconstruction (Q6575310) (← links)
