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035   $a(OCoLC)1291316030
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035   $a(DE-He213)978-3-030-86664-8
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100   $a20211213d2021      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aHarmonic and Applied Analysis $eFrom Radon Transforms to Machine Learning /$fedited by Filippo De Mari, Ernesto De Vito
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Birkhäuser,$d2021.
215   $a1 online resource (316 pages)
225 1 $aApplied and Numerical Harmonic Analysis,$x2296-5017
311 08$aPrint version: De Mari, Filippo Harmonic and Applied Analysis Cham : Springer International Publishing AG,c2022 9783030866631 
327   $aBartolucci, F., De Mari, F., Monti, M., Unitarization of the Horocyclic Radon Transform on Symmetric Spaces -- Maurer, A., Entropy and Concentration.-Alaifari, R., Ill-Posed Problems: From Linear to Non-Linear and Beyond -- Salzo, S., Villa, S., Proximal Gradient Methods for Machine Learning and Imaging -- De Vito, E., Rosasco, L., Rudi, A., Regularization: From Inverse Problems to Large Scale Machine Learning.
330   $aDeep connections exist between harmonic and applied analysis and the diverse yet connected topics of machine learning, data analysis, and imaging science. This volume explores these rapidly growing areas and features contributions presented at the second and third editions of the Summer Schools on Applied Harmonic Analysis, held at the University of Genova in 2017 and 2019. Each chapter offers an introduction to essential material and then demonstrates connections to more advanced research, with the aim of providing an accessible entrance for students and researchers. Topics covered include ill-posed problems; concentration inequalities; regularization and large-scale machine learning; unitarization of the radon transform on symmetric spaces; and proximal gradient methods for machine learning and imaging. .
410  0$aApplied and Numerical Harmonic Analysis,$x2296-5017
606   $aHarmonic analysis
606   $aGeometry, Differential
606   $aMathematical optimization
606   $aArtificial intelligence$xData processing
606   $aSignal processing
606   $aAbstract Harmonic Analysis
606   $aDifferential Geometry
606   $aOptimization
606   $aData Science
606   $aSignal, Speech and Image Processing
615  0$aHarmonic analysis.
615  0$aGeometry, Differential.
615  0$aMathematical optimization.
615  0$aArtificial intelligence$xData processing.
615  0$aSignal processing.
615 14$aAbstract Harmonic Analysis.
615 24$aDifferential Geometry.
615 24$aOptimization.
615 24$aData Science.
615 24$aSignal, Speech and Image Processing.
676   $a006.31
702   $aDe Mari$b Filippo
702   $aDe Vito$b Ernesto
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910513600403321
996   $aHarmonic and Applied Analysis$92564285
997   $aUNINA