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Nonlinear estimators for the detection of small and rare features
We illustrate in three settings (i.e., wavelet smoothing, total variationdensity estimation and wavelet-based inverse problem) the need of nonlinearestima-tors to retrieve small or rare features hidden in data. Such nonlinearnonpara-metric methods could be specifically developed for inverse problems...
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| Lenguaje: | eng |
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CERN
2011
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| Acceso en línea: | https://dx.doi.org/10.5170/CERN-2011-006.132 http://cds.cern.ch/record/2203245 |