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Advanced Techniques in Optimization for Machine Learning and Imaging (Record no. 63956)

MARC details
000 -LEADER
fixed length control field 03876nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-981-97-6769-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030113124.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241002s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819767694
-- 978-981-97-6769-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-97-6769-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5-.7
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQM
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQM
Source thema
245 10 - TITLE STATEMENT
Title Advanced Techniques in Optimization for Machine Learning and Imaging
Medium [electronic resource] /
Statement of responsibility, etc. edited by Alessandro Benfenati, Federica Porta, Tatiana Alessandra Bubba, Marco Viola.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent X, 165 p. 81 illus., 57 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Springer INdAM Series,
International Standard Serial Number 2281-5198 ;
Volume/sequential designation 61
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1.STEMPO dynamic Xray tomography phantom -- 2.On a fixed point continuation method for a convex optimization problem -- 3.Majoration Minimization for Sparse SVMs -- 4.Bilevel learning of regularization models and their discretization for image deblurring and super resolution -- 5.Non Log Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms -- 6.On the inexact proximal Gauss-Newton methods for regularized nonlinear least squares problems.
520 ## - SUMMARY, ETC.
Summary, etc. In recent years, non-linear optimization has had a crucial role in the development of modern techniques at the interface of machine learning and imaging. The present book is a collection of recent contributions in the field of optimization, either revisiting consolidated ideas to provide formal theoretical guarantees or providing comparative numerical studies for challenging inverse problems in imaging. The work of these papers originated in the INdAM Workshop “Advanced Techniques in Optimization for Machine learning and Imaging” held in Roma, Italy, on June 20-24, 2022. The covered topics include non-smooth optimisation techniques for model-driven variational regularization, fixed-point continuation algorithms and their theoretical analysis for selection strategies of the regularization parameter for linear inverse problems in imaging, different perspectives on Support Vector Machines trained via Majorization-Minimization methods, generalization of Bayesian statistical frameworks to imaging problems, and creation of benchmark datasets for testing new methods and algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 55059
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 65522
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 64178
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 55059
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 65528
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Benfenati, Alessandro.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 85520
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Porta, Federica.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 85521
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bubba, Tatiana Alessandra.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 85522
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Viola, Marco.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 85523
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819767687
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819767700
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819767717
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Springer INdAM Series,
International Standard Serial Number 2281-5198 ;
Volume number/sequential designation 61
9 (RLIN) 77740
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-97-6769-4">https://doi.org/10.1007/978-981-97-6769-4</a>
912 ## -
-- ZDB-2-SMA
912 ## -
-- ZDB-2-SXMS

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