02413nam 2200517 450 99651187190331620230510050127.03-031-25825-810.1007/978-3-031-25825-1(MiAaPQ)EBC7191169(Au-PeEL)EBL7191169(CKB)26089758200041(DE-He213)978-3-031-25825-1(PPN)268204640(EXLCZ)992608975820004120230510d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierImage and vision computing 37th international conference, IVCNZ 2022, Auckland, New Zealand, November 24-25, 2022, revised selected papers /Wei Qi Yan, Minh Nguyen, Martin Stommel (editors)1st ed. 2023.Cham, Switzerland :Springer,[2023]©20231 online resource (537 pages)Lecture notes in computer science ;Volume 13836Print version: Yan, Wei Qi Image and Vision Computing Cham : Springer,c2023 9783031258244 Convolutional neural networks -- Generative adversarial networks -- Vision transformers -- U-Nets -- YOLO -- Imaging sensors -- Segmentation -- Visual odometry -- Image reconstruction.This book constitutes the proceedings of the 37th International Conference, IVCNZ 2022, which took place in Auckland, New Zealand, in November 2022. The 37 papers (14 accepted for long oral presentation, 23 for short oral presentation) included in this volume were carefully reviewed and selected from 79 submissions. The conference presents papers on all aspects of computer vision, image processing, computer graphics, virtual and augmented reality, visualization, and HCI applications related to these fields.Lecture notes in computer science ;Volume 13836.Computer visionCongressesImage processingDigital techniquesCongressesComputer visionImage processingDigital techniques006.37Stommel Martin Nguyễn MinhYan Wei QiMiAaPQMiAaPQMiAaPQBOOK996511871903316Image and vision computing793112UNISA02246nam 2200541 450 991082592940332120230807213817.01-336-09915-10-19-103992-6(CKB)3710000000365887(SSID)ssj0001469974(PQKBManifestationID)11902718(PQKBTitleCode)TC0001469974(PQKBWorkID)11399153(PQKB)10652774(MiAaPQ)EBC1992297(Au-PeEL)EBL1992297(CaPaEBR)ebr11028963(CaONFJC)MIL741201(OCoLC)904791896(EXLCZ)99371000000036588720150312h20152015 uy 0engurcnu||||||||txtccrA first course in network theory /Professor Ernesto Estrada, Dr. Philip A. KnightOxford, [England] :Oxford University Press,2015.©20151 online resource (269 pages) illustrationsBibliographic Level Mode of Issuance: Monograph0-19-872646-5 0-19-872645-7 Includes bibliographical references at the end of each chapters and index.Introduction to network theory -- General concepts in network theory -- How to prove it -- Data analysis and manipulation -- Algebraic concepts in network theory -- Spectra of adjacency matrices -- The network Laplacian -- Classical physics analogies -- Degree distributions -- Clustering coefficients of networks -- Random models of networks -- Matrix functions -- Fragment-based measures -- Classical node centrality -- Spectral node centrality -- Quantum physics analogies -- Global properties of networks I -- Global properties of networks II -- Communicability in networks -- Statistical physics analogies -- Communities in networks.System analysisTextbooksSystem analysis003.72Fruko1693595Knight Philip A.MiAaPQMiAaPQMiAaPQBOOK9910825929403321A first course in network theory4071511UNINA