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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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Broader (1)

Computer engineering
Condition numberCross-validation (statistics)Gradient descentLandweber iteration

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
FADE: Feature Aggregation for Depth Estimation With Multi-View Stereo
Both structural and contextual information is essential and widely used in image analysis. However, current multi-view stereo… 
2019
2019
A galaxy’s accretion history unveiled from its integrated spectrum
We present a new method of quantifying a galaxy’s accretion history from its integrated spectrum alone. Using full spectral… 
Highly Cited
2016
Highly Cited
2016
Learning Deep Networks from Noisy Labels with Dropout Regularization
Large datasets often have unreliable labels—such as those obtained from Amazon's Mechanical Turk or social media platforms—and… 
Highly Cited
2012
Highly Cited
2012
Multiframe Super-Resolution Employing a Spatially Weighted Total Variation Model
Total variation (TV) has been used as a popular and effective image prior model in regularization-based image processing fields… 
2010
2010
Multiphase Soft Segmentation with Total Variation and H1 Regularization
In this paper, we propose a variational soft segmentation framework inspired by the level set formulation of multiphase Chan-Vese… 
2009
2009
Joint Regularization of Phase and Amplitude of InSAR Data: Application to 3-D Reconstruction
Interferometric synthetic aperture radar (SAR) images suffer from a strong noise, and their regularization is often a… 
2002
2002
Reactivity of superfine aluminum powders stabilized by aluminum diboride
1999
1999
Band-limited interpolation applied to the time series of rapidly oscillating stars
We reconstruct the temporal Fourier spectra obtained from incomplete records of the luminosities of rapidly oscillating stars… 
1998
1998
Identification Problem for a Wave Equation via Optimal Control
The authors approximate an identification problem by applying optimal control techniques to a Tikhonov`s regularization. They… 
Highly Cited
1988
Highly Cited
1988
Small-angle-scattering-data treatment by the regularization method
The application of Tikhonov's regularization method [Tikhonov & Arsenin (1977). Solution of Ill-Posed Problems. New York: Wiley… 
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