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Nuclear norm regularization for overparametrized Hammerstein systems
49th IEEE Conference on Decision and Control (CDC), 2010In 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 +3 more
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Joint Frobenius norm and reweighted nuclear norm minimization for interference alignment
2013 IEEE International Conference on Communications (ICC), 2013This 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 +3 more
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Disarmament and Other Nuclear Norms
The Washington Quarterly, 2013Once 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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Semi-supervised learning with nuclear norm regularization
Pattern Recognition, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fanhua Shang +3 more
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Nuclear Norm Regularized Randomized Neural Network
2016Extreme Learning Machine ELM or Randomized Neural Network RNN is a feedforward neural network where the network weights between the input and the hidden layer are not learned; they are assigned from some probability distribution. The weights between the hidden layer and the output targets are learnt.
Anupriya Gogna, Angshul Majumdar
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Spectral norm and nuclear norm of a third order tensor
Journal of Industrial and Management Optimization, 2021Liqun Qi, Shenglong Hu
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Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Canyi Lu, Jiashi Feng, Yudong Chen
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Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013Yao Hu, Debing Zhang, Xuelong Li
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The Ideal of σ-Nuclear Operators and Its Associated Tensor Norm
Mathematics, 2020Ju Myung Kim +2 more
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