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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 |
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author | Sardy, Sylvain |
author_facet | Sardy, Sylvain |
author_sort | Sardy, Sylvain |
collection | CERN |
description | 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 atCERN. |
id | oai-inspirehep.net-1478280 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2011 |
publisher | CERN |
record_format | invenio |
spelling | oai-inspirehep.net-14782802019-09-30T06:29:59Zdoi:10.5170/CERN-2011-006.132http://cds.cern.ch/record/2203245engSardy, SylvainNonlinear estimators for the detection of small and rare featuresParticle Physics - ExperimentDetectors and Experimental TechniquesWe 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 atCERN.CERNoai:inspirehep.net:14782802011 |
spellingShingle | Particle Physics - Experiment Detectors and Experimental Techniques Sardy, Sylvain Nonlinear estimators for the detection of small and rare features |
title | Nonlinear estimators for the detection of small and rare features |
title_full | Nonlinear estimators for the detection of small and rare features |
title_fullStr | Nonlinear estimators for the detection of small and rare features |
title_full_unstemmed | Nonlinear estimators for the detection of small and rare features |
title_short | Nonlinear estimators for the detection of small and rare features |
title_sort | nonlinear estimators for the detection of small and rare features |
topic | Particle Physics - Experiment Detectors and Experimental Techniques |
url | https://dx.doi.org/10.5170/CERN-2011-006.132 http://cds.cern.ch/record/2203245 |
work_keys_str_mv | AT sardysylvain nonlinearestimatorsforthedetectionofsmallandrarefeatures |