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检索条件"主题词=Majorize-Minimize algorithms"
6 条 记 录,以下是1-10 订阅
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A majorize-minimize Subspace Approach for l2-l0 Image Regularization
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SIAM JOURNAL ON IMAGING SCIENCES 2013年 第1期6卷 563-591页
作者: Chouzenoux, Emilie Jezierska, Anna Pesquet, Jean-Christophe Talbot, Hugues Univ Paris Est Lab Informat Gaspard Monge UMR CNRS 8049 UPEMLV F-77454 Champs Sur Marne France Univ Paris Est Lab Informat Gaspard Monge UMR CNRS 8049 UPEMLVESIEE ParisCNRS F-77454 Champs Sur Marne France Univ Paris Est Lab Informat Gaspard Monge UMR CNRS 8049 EISEE Paris F-93162 Noisy Le Grand France
In this work, we consider a class of differentiable criteria for sparse image computing problems, where a nonconvex regularization is applied to an arbitrary linear transform of the target image. As special cases, it ... 详细信息
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Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function
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JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS 2014年 第1期162卷 107-132页
作者: Chouzenoux, Emilie Pesquet, Jean-Christophe Repetti, Audrey Univ Paris Est Marne la Vallee Lab Informat Gaspard Monge F-77454 Champs Sur Marne Marne La Vallee France Univ Paris Est Marne la Vallee CNRS UMR 8049 F-77454 Champs Sur Marne Marne La Vallee France
We consider the minimization of a function G defined on , which is the sum of a (not necessarily convex) differentiable function and a (not necessarily differentiable) convex function. Moreover, we assume that G satis... 详细信息
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NONNEGATIVE MATRIX FACTORIZATION FOR TISSUE MIXTURE MODELING WITH NOISY MR MAGNITUDE IMAGE SEQUENCES  12
NONNEGATIVE MATRIX FACTORIZATION FOR TISSUE MIXTURE MODELING...
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IEEE 12th International Symposium on Biomedical Imaging
作者: Kim, Daeun Haldar, Justin P. Univ Southern Calif Inst Signal & Image Proc Ming Hsieh Dept Elect Engn Los Angeles CA 90089 USA
Nonnegative matrix factorization (NMF) is a powerful blind source separation method that can be used for nonparametric partial volume mixture modeling in a variety of high-dimensional medical imaging experiments. Howe... 详细信息
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A QUADRATIC majorize-minimize FRAMEWORK FOR STATISTICAL ESTIMATION WITH NOISY RICIAN- AND NONCENTRAL CHI-DISTRIBUTED MR IMAGES
A QUADRATIC MAJORIZE-MINIMIZE FRAMEWORK FOR STATISTICAL ESTI...
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IEEE 10th International Symposium on Biomedical Imaging - From Nano to Macro (ISBI)
作者: Varadarajan, Divya Haldar, Justin P. Univ So Calif Inst Signal & Image Proc Los Angeles CA 90089 USA
The statistics of noisy MR magnitude and square-root sum-of-squares MR images are well-described by the Rice and non-central chi distributions, respectively. Statistical estimation involving these distributions is com... 详细信息
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A majorize-minimize Framework for Rician and Non-Central Chi MR Images
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IEEE TRANSACTIONS ON MEDICAL IMAGING 2015年 第10期34卷 2191-2202页
作者: Varadarajan, Divya Haldar, Justin P. Univ So Calif Ming Hsieh Dept Elect Engn Image Proc Inst Los Angeles CA 90089 USA
The statistics of many MR magnitude images are described by the non-central chi (NCC) family of probability distributions, which includes the Rician distribution as a special case. These distributions have complicated... 详细信息
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A review on the Adaptive-Ridge Algorithm with several extensions
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STATISTICS AND COMPUTING 2024年 第4期34卷 140-140页
作者: Abergel, Remy Bouaziz, Olivier Nuel, Gregory Univ Paris Cite MAP5 CNRS F-75006 Paris France Sorbonne Univ LPSM CNRS 8001 4 Pl JussieuCampus Pierre & Marie Curie F-75005 Paris France
The Adaptive Ridge Algorithm is an iterative algorithm designed for variable selection. It is also known under the denomination of Iteratively Reweighted Least-Squares Algorithm in the communities of Compressed Sensin... 详细信息
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