Results 221 to 230 of about 1,788,984 (247)

Nuclear Norm Regularization

WIREs Computational Statistics
ABSTRACTNuclear norm, also known as trace norm, has been widely used in statistical machine learning. Nuclear norm regularization has emerged as an important tool for addressing various statistical problems involving the estimation of low‐rank matrices, particularly in tasks such as matrix completion and reduced rank regression. This review delves into
Dengdeng Yu, Dehan Kong
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Feature and Nuclear Norm Minimization for Matrix Completion

IEEE Transactions on Knowledge and Data Engineering, 2022
Matrix completion, whose goal is to recover a matrix from a few entries observed, is a fundamental model behind many applications. Our study shows that, in many applications, the to-be-complete matrix can be represented as the sum of a low-rank matrix and a sparse matrix associating with side information matrices. The low-rank matrix depicts the global
Mengyun Yang, Yaohang Li, Jianxin Wang 0001   +2 more
openaire   +1 more source

Nuclear norm regularization for overparametrized Hammerstein systems

49th IEEE Conference on Decision and Control (CDC), 2010
In this paper we study the overparametrization scheme for Hammerstein systems [1] in the presence of regularization. The quality of the convex approximation is analysed, that is obtained by relaxing the implicit rank one constraint. To obtain an improved convex relaxation we propose the use of nuclear norms [2], instead of using ridge regression.
Falck, Tillmann, Suykens, Johan, Schoukens, Joannes, De Moor, Bart   +3 more
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Joint Frobenius norm and reweighted nuclear norm minimization for interference alignment

2013 IEEE International Conference on Communications (ICC), 2013
This paper considers a K-user multiple-input multiple-output (MIMO) interference channel in which uncoordinated interference appears. Due to the uncoordinated interference, perfect interference alignment (IA) may be not attained, which indicates the interference subspaces can not be completely aligned.
Huiqin Du, Tharm Ratnarajah, Mathini Sellathurai, Constantinos B. Papadias   +3 more
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Disarmament and Other Nuclear Norms

The Washington Quarterly, 2013
Once the Cold War ended, and with it the prospect of a cataclysmic Third World War, many argued that the nuclear arsenals accumulated during its 45 years were anachronistic and redundant.
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Tensor Robust Principal Component Analysis With a New Tensor Nuclear Norm

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Jiashi Feng, Wei Liu, Yudong Chen
exaly  

Nuclear Factor of Activated T Cells Operates as Conductor of the Epigenetic Orchestra in Pancreatic Carcinogenesis

Medical Epigenetics, 2013
Volker Ellenrieder, Elisabeth Hessmann
exaly  

Perspective: National Cancer Institute Summary Report About Estimated Exposures and Thyroid Doses Received From Iodine 131 in Fallout After Nevada Atmospheric Nuclear Bomb Tests

Ca-A Cancer Journal for Clinicians, 1998
Scott A Hundahl, S A Hundahl
exaly  

Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction

IEEE Transactions on Image Processing, 2017
Zhao Zhang, Zhao Zhang, Mingbo Zhao
exaly  

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

International Journal of Computer Vision, 2017
Deyu Meng, Shuhang Gu
exaly