Spectral regularization is any of a class of regularization techniques used in machine learning to control the impact of noise and preventâ€¦Â (More)

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2017

2017

- Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
- ArXiv
- 2017

We present a method for transferring neural representations from label-rich source domains to unlabeled target domains. Recentâ€¦Â (More)

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2017

2017

- Christoph F. MecklenbrÃ¤uker, Peter Gerstoft, Erich ZÃ¶chmann
- Signal Processing
- 2017

We treat the estimation of a sparse set of sources emitting plane waves observed by a sensor array as a complex-valued LASSO (câ€¦Â (More)

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2017

2017

- Ryuji Kurihara, Shunsuke Ono, Keiichiro Shirai, Masahiro Okuda
- 2017 25th European Signal Processing Conferenceâ€¦
- 2017

We propose a regularization function for hyperspectral image restoration based on a newly-designed structure tensor. We adopt aâ€¦Â (More)

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2015

2015

- Mingkui Tan, Ivor W. Tsang, Li Wang
- IEEE Transactions on Signal Processing
- 2015

Large-scale sparse recovery (SR) by solving â„“1-norm relaxations over Big Dictionary is a very challenging task. Plenty of greedyâ€¦Â (More)

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2014

2014

- Qin-wei Fan, Jacek M. Zurada, Wei Wu
- Neurocomputing
- 2014

Minimization of the training regularization term has been recognized as an important objective for sparse modeling andâ€¦Â (More)

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2012

2012

- Lorenzo Fagiano, Mustafa Khammash
- 2012 IEEE 51st IEEE Conference on Decision andâ€¦
- 2012

A new method to control stochastic systems in the presence of input and state constraints is presented. The method exploits aâ€¦Â (More)

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Highly Cited

2011

Highly Cited

2011

- Christian M. Reidys, Fenix W. D. Huang, JÃ¸rgen Ellegaard Andersen, Robert C. Penner, Peter F. Stadler, Markus E. Nebel
- Bioinformatics
- 2011

MOTIVATION
Several dynamic programming algorithms for predicting RNA structures with pseudoknots have been proposed that differâ€¦Â (More)

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2010

2010

- Kaizhu Huang, Danian Zheng, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi
- Pattern Recognition Letters
- 2010

This paper provides a sparse learning algorithm for Support Vector Classification (SVC), called Sparse Support Vectorâ€¦Â (More)

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2007

2007

In the rst part of this article, we have shown how time-dependent optimal control for partial di erential equations can beâ€¦Â (More)

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1988

1988

- By D. I. SVERGUN, A. V. SEMENVUK, L. A. Feigin
- 1988

The application of Tikhonov's regularization method [Tikhonov & Arsenin (1977). Solution of Ill-Posed Problems. New York: Wileyâ€¦Â (More)

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