02905nam 2200517 450 991046592670332120190716082020.090-04-32455-010.1163/9789004324558(CKB)3710000000836718(MiAaPQ)EBC5024424(OCoLC)951724345(nllekb)BRILL9789004324558(PPN)174388470(EXLCZ)99371000000083671820171012h20162016 uy 0engurcnu||||||||rdacontentrdamediardacarrierFrom face to face recarving of Roman portraits and the late-antique portrait arts /by Marina Prusac Ph.D., University of OsloSecond revised editionLeiden, [Netherlands] ;Boston, [Massachusetts] :Brill,2016.©20161 online resource (381 pages) illustrations, mapsMonumenta Graeca et Romana,0169-8850 ;Volume 1890-04-32184-5 Includes bibliographical references and indexes.Introduction : the history of sculpture reuse and related problems -- The reuse of sculpture and recarving of portraits -- Statistical analyses -- The 1st-2nd centuries CE and the damnatio memoriae portraits -- The Third century CE -- Late antiquity and the emergence of new visual expressions -- Recarving methods -- Classifications -- Social aspects -- Conclusions : oblivion and reinvention -- Summary -- Map with portrait provinces -- The Roman imperial succession until Justinian I -- Calalogue of recarved portraits -- Bibliography.This book is based on an investigation of more than five hundred recarved portraits. It includes analyses of different recarving methods, some of which can be attributed to geographically localised workshops. The different recarving methods have made it possible to suggest classifiable categories, which together underpin a hypothesis that the late-antique portrait style is a consequence of the many recarved portraits at the time. The practice of portrait recarving emerged due to economic, political, religious and ideological factors, and was influenced by the cultural-historical changes of Late Antiquity. The conclusion gives a new understanding of how wide-ranging, culturally and politically encoded and comprehensive the practice of recarving was.Monumenta Graeca et Romana ;Volume 18.Portrait sculpture, RomanAltered sculpturesElectronic books.Portrait sculpture, Roman.Altered sculptures.733/.5Prusac Marina892651MiAaPQMiAaPQMiAaPQBOOK9910465926703321From face to face2146878UNINA04588nam 22007335 450 99646631470331620200702063135.03-030-16145-510.1007/978-3-030-16145-3(CKB)4100000007823497(DE-He213)978-3-030-16145-3(MiAaPQ)EBC5921891(PPN)235668338(EXLCZ)99410000000782349720190322d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Knowledge Discovery and Data Mining[electronic resource] 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II /edited by Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XXIX, 631 p. 249 illus., 172 illus. in color.) Lecture Notes in Artificial Intelligence ;11440Includes index.3-030-16144-7 The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.Lecture Notes in Artificial Intelligence ;11440Artificial intelligenceData miningApplication softwareOptical data processingComputer securityArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Computer Appl. in Social and Behavioral Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/I23028Systems and Data Securityhttps://scigraph.springernature.com/ontologies/product-market-codes/I28060Artificial intelligence.Data mining.Application software.Optical data processing.Computer security.Artificial Intelligence.Data Mining and Knowledge Discovery.Information Systems Applications (incl. Internet).Image Processing and Computer Vision.Computer Appl. in Social and Behavioral Sciences.Systems and Data Security.006.3Yang Qiangedthttp://id.loc.gov/vocabulary/relators/edtZhou Zhi-Huaedthttp://id.loc.gov/vocabulary/relators/edtGong Zhiguoedthttp://id.loc.gov/vocabulary/relators/edtZhang Min-Lingedthttp://id.loc.gov/vocabulary/relators/edtHuang Sheng-Junedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466314703316Advances in Knowledge Discovery and Data Mining772012UNISA