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Tensor-based formulation and nuclear norm regularization for
  multi-energy computed tomography

Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography

19 July 2013
O. Semerci
Ning Hao
M. Kilmer
Eric L. Miller
    MedIm
ArXivPDFHTML

Papers citing "Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography"

6 / 6 papers shown
Title
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Zhiyu Liu
Zhi Han
Yandong Tang
Xi-Le Zhao
Yao Wang
70
1
0
22 Jan 2024
Unbiased Risk Estimates for Singular Value Thresholding and Spectral
  Estimators
Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators
Emmanuel J. Candes
Carlos A. Sing Long
J. Trzasko
69
220
0
15 Oct 2012
Hessian Schatten-Norm Regularization for Linear Inverse Problems
Hessian Schatten-Norm Regularization for Linear Inverse Problems
Stamatios Lefkimmiatis
J. P. Ward
M. Unser
52
163
0
14 Sep 2012
A Parametric Level Set Approach to Simultaneous Object Identification
  and Background Reconstruction for Dual Energy Computed Tomography
A Parametric Level Set Approach to Simultaneous Object Identification and Background Reconstruction for Dual Energy Computed Tomography
O. Semerci
Eric L. Miller
48
39
0
29 Mar 2011
Estimation of low-rank tensors via convex optimization
Estimation of low-rank tensors via convex optimization
Ryota Tomioka
K. Hayashi
H. Kashima
143
208
0
05 Oct 2010
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
244
3,762
0
28 Jun 2007
1