LEADER 03459oam 2200721I 450 001 9910465431303321 005 20200520144314.0 010 $a0-203-10936-8 010 $a1-299-28026-9 010 $a1-136-26949-5 024 7 $a10.4324/9780203109366 035 $a(CKB)2560000000099330 035 $a(EBL)1143792 035 $a(OCoLC)830161088 035 $a(SSID)ssj0000832866 035 $a(PQKBManifestationID)11530836 035 $a(PQKBTitleCode)TC0000832866 035 $a(PQKBWorkID)10935793 035 $a(PQKB)10194365 035 $a(OCoLC)847627515 035 $a(MiAaPQ)EBC1143792 035 $a(Au-PeEL)EBL1143792 035 $a(CaPaEBR)ebr10672697 035 $a(CaONFJC)MIL459276 035 $a(EXLCZ)992560000000099330 100 $a20180706d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aChildren's culture and the avant-garde $epainting in Paris, 1890-1915 /$fMarilynn Strasser Olson 210 1$aNew York :$cRoutledge,$d2013. 215 $a1 online resource (247 p.) 225 1 $aChildren's literature and culture 300 $aDescription based upon print version of record. 311 $a0-415-87268-5 320 $aIncludes bibliographical references and index. 327 $aCover; CHILDREN'S CULTURE AND THE AVANT-GARDE: Painting in Paris, 1890-1915; Copyright; CONTENTS; FIGURES; Series Editor's Foreword; Acknowledgments; Introduction: Higglety-Pigglety Modernism; Chapter One Turn-of-the-Century Grotesque: The Uptons' Golliwogg in Context; Chapter Two Henri Rousseau: Jungles Transformed; Chapter Three William Nicholson: A Swashbuckling Time; Chapter Four Paula Modersohn-Becker: Someone Who Has a Long Road in Front of Her Doesn't Run; Chapter Five Marc Chagall: I Was Not Born Simply to Seek Pleasure; Conclusion; Notes; Bibliography; Index 330 $aThis volume explores the mutual influences between children's literature and the avant-garde. Olson places particular focus on fin-de-sie?cle Paris, where the Avant-garde was not unified in thought and there was room for modernism to overlap with children's literature and culture in the Golden Age. The ideas explored by artists such as Florence Upton, Henri Rousseau, Sir William Nicholson, Paula Modersohn-Becker, and Marc Chagall had been disseminated widely in cultural productions for children; their work, in turn, influenced children's culture. These artists turned to children's culture as a 410 0$aChildren's literature and culture. 606 $aChildren's literature$xHistory and criticism 606 $aAvant-garde (Aesthetics)$zFrance$zParis 606 $aArt and literature$zFrance$xHistory$y19th century 606 $aArt and literature$zFrance$xHistory$y20th century 606 $aChildren in art 606 $aChildren in literature 608 $aElectronic books. 615 0$aChildren's literature$xHistory and criticism. 615 0$aAvant-garde (Aesthetics) 615 0$aArt and literature$xHistory 615 0$aArt and literature$xHistory 615 0$aChildren in art. 615 0$aChildren in literature. 676 $a809/.89282 700 $aOlson$b Marilynn Strasser.$0849414 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465431303321 996 $aChildren's culture and the avant-garde$91896927 997 $aUNINA LEADER 00657nam 2200181z- 450 001 9910557341603321 035 $a(CKB)5400000000042475 035 $a(EXLCZ)995400000000042475 100 $a20220406c2021uuuu -u- - 101 0 $aeng 200 10$a21st Century Advanced Carbon Materials for Engineering Applications : A Comprehensive Handbook 210 $cIntechOpen 311 $a1-78985-991-3 517 $a21st Century Advanced Carbon Materials for Engineering Applications 906 $aBOOK 912 $a9910557341603321 996 $a21st Century Advanced Carbon Materials for Engineering Applications : A Comprehensive Handbook$92822998 997 $aUNINA LEADER 05358nam 2200661 a 450 001 9910815468903321 005 20240313224558.0 010 $a9781118618363 010 $a111861836X 010 $a9781118618387 010 $a1118618386 010 $a9781118618370 010 $a1118618378 035 $a(CKB)2670000000359230 035 $a(EBL)1204058 035 $a(OCoLC)850163687 035 $a(MiAaPQ)EBC1204058 035 $a(DLC) 2013013075 035 $a(Au-PeEL)EBL1204058 035 $a(CaPaEBR)ebr10713664 035 $a(Perlego)1002087 035 $a(EXLCZ)992670000000359230 100 $a20130328d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aObject detection and recognition in digital images $etheory and practice /$fBogus?aw Cyganek 205 $a1st ed. 210 $aChichester, West Sussex, U.K. $cJohn Wiley & Sons, Inc.$d2013 215 $a1 online resource (552 p.) 300 $aDescription based upon print version of record. 311 08$a9780470976371 311 08$a0470976373 320 $aIncludes bibliographical references and index. 327 $aOBJECT DETECTION AND RECOGNITION IN DIGITAL IMAGES; Contents; Preface; Acknowledgements; Notations and Abbreviations; 1 Introduction; 1.1 A Sample of Computer Vision; 1.2 Overview of Book Contents; References; 2 Tensor Methods in Computer Vision; 2.1 Abstract; 2.2 Tensor - A Mathematical Object; 2.2.1 Main Properties of Linear Spaces; 2.2.2 Concept of a Tensor; 2.3 Tensor - A Data Object; 2.4 Basic Properties of Tensors; 2.4.1 Notation of Tensor Indices and Components; 2.4.2 Tensor Products; 2.5 Tensor Distance Measures; 2.5.1 Overview of Tensor Distances 327 $a2.5.1.1 Computation of Matrix Exponent and Logarithm Functions2.5.2 Euclidean Image Distance and Standardizing Transform; 2.6 Filtering of Tensor Fields; 2.6.1 Order Statistic Filtering of Tensor Data; 2.6.2 Anisotropic Diffusion Filtering; 2.6.3 IMPLEMENTATION of Diffusion Processes; 2.7 Looking into Images with the Structural Tensor; 2.7.1 Structural Tensor in Two-Dimensional Image Space; 2.7.2 Spatio-Temporal Structural Tensor; 2.7.3 Multichannel and Scale-Space Structural Tensor; 2.7.4 Extended Structural Tensor; 2.7.4.1 IMPLEMENTATION of the Linear and Nonlinear Structural Tensor 327 $a2.8 Object Representation with Tensor of Inertia and Moments2.8.1 IMPLEMENTATION of Moments and their Invariants; 2.9 Eigendecomposition and Representation of Tensors; 2.10 Tensor Invariants; 2.11 Geometry of Multiple Views: The Multifocal Tensor; 2.12 Multilinear Tensor Methods; 2.12.1 Basic Concepts of Multilinear Algebra; 2.12.1.1 Tensor Flattening; 2.12.1.2 IMPLEMENTATION Tensor Representation; 2.12.1.3 The k-mode Product of a Tensor and a Matrix; 2.12.1.4 Ranks of a Tensor; 2.12.1.5 IMPLEMENTATION of Basic Operations on Tensors; 2.12.2 Higher-Order Singular Value Decomposition (HOSVD) 327 $a2.12.3 Computation of the HOSVD2.12.3.1 Implementation of the HOSVD Decomposition; 2.12.4 HOSVD Induced Bases; 2.12.5 Tensor Best Rank-1 Approximation; 2.12.6 Rank-1 Decomposition of Tensors; 2.12.7 Best Rank-(R1, R2, . . . , RP) Approximation; 2.12.8 Computation of the Best Rank-(R1, R2, . . . , RP) Approximations; 2.12.8.1 IMPLEMENTATION - Rank Tensor Decompositions; 2.12.8.2 CASE STUDY - Data Dimensionality Reduction; 2.12.9 Subspace Data Representation; 2.12.10 Nonnegative Matrix Factorization; 2.12.11 Computation of the Nonnegative Matrix Factorization 327 $a2.12.12 Image Representation with NMF2.12.13 Implementation of the Nonnegative Matrix Factorization; 2.12.14 Nonnegative Tensor Factorization; 2.12.15 Multilinear Methods of Object Recognition; 2.13 Closure; 2.13.1 Chapter Summary; 2.13.2 Further Reading; 2.13.3 Problems and Exercises; References; 3 Classification Methods and Algorithms; 3.1 Abstract; 3.2 Classification Framework; 3.2.1 IMPLEMENTATION Computer Representation of Features; 3.3 Subspace Methods for Object Recognition; 3.3.1 Principal Component Analysis; 3.3.1.1 Computation of the PCA 327 $a3.3.1.2 PCA for Multi-Channel Image Processing 330 $aObject detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. 606 $aPattern recognition systems 606 $aImage processing$xDigital techniques 606 $aComputer vision 615 0$aPattern recognition systems. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 676 $a621.39/94 700 $aCyganek$b Bogus?aw$0890978 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910815468903321 996 $aObject detection and recognition in digital images$94114502 997 $aUNINA