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Regularization by spectral filtering

Spectral regularization is any of a class of regularization techniques used in machine learning to control the impact of noise and prevent… 
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Papers overview

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2016
2016
Markov random field (MRF)based spatial regularizing methodology can improve the maps by imposing a spatial smoothness prior on… 
2014
2014
For Linear Complementarity Problems (LCP) with a positive semidefinite matrix M, iterative solvers can be derived by a process of… 
2013
2013
In this paper, we present a methodology for estimating the parameters of a model for an electrical arc… 
2013
2013
Extending on previous work, the Echo State Network (ESN) and Tikhonov Regularisation (TR) training algorithms were implemented… 
2012
2012
The Constituent-Context Model (CCM) achieves promising results for unsupervised grammar induction. However, its performance drops… 
2010
2010
The EMI response of a target can be accurately modeled by a sum of real exponentials. However, it is difficult to obtain the… 
1999
1999
We reconstruct the temporal Fourier spectra obtained from incomplete records of the luminosities of rapidly oscillating stars… 
1984
1984
Cytogenetic studies to date on domestic swine (Sus scrofa domesticus) and wild swine (Sus scrofa fetus) show that a significant…