00782nam--2200325---450-9900010546902033160105469USA010105469(ALEPH)000105469USA01010546920020322d--------km-y0itay0103----baitaITaaa--------<<La>> RepubblicaRomav46 cmDir. E. ScalfariQuotidiano2001055.ITsalbcISBD990001054690203316ECO8(1983)-SEPATTY9020020322USA01102120020403USA011745PATRY9020040406USA011713Repubblica75591UNISA03853nam 22006495 450 99646538190331620200702005657.03-319-46487-610.1007/978-3-319-46487-9(CKB)3710000000872950(DE-He213)978-3-319-46487-9(MiAaPQ)EBC5594400(PPN)195511247(EXLCZ)99371000000087295020160916d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierComputer Vision – ECCV 2016[electronic resource] 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part III /edited by Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XXIX, 885 p. 370 illus.) Image Processing, Computer Vision, Pattern Recognition, and Graphics ;99073-319-46486-8 Detection, recognition and retrieval -- Scene understanding -- Optimization -- Image and video processing -- Learning -- Action activity and tracking -- 3D -- Poster sessions.The eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such as 3D computer vision; computational photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based vision, photometry and shape-from-X; recognition: detection, categorization, indexing, matching; segmentation, grouping and shape representation; statistical methods and learning; video: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action activity and tracking; 3D; and 9 poster sessions.Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9907Optical data processingPattern recognitionArtificial intelligenceComputer graphicsImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22013Optical data processing.Pattern recognition.Artificial intelligence.Computer graphics.Image Processing and Computer Vision.Pattern Recognition.Artificial Intelligence.Computer Graphics.006.3Leibe Bastianedthttp://id.loc.gov/vocabulary/relators/edtMatas Jiriedthttp://id.loc.gov/vocabulary/relators/edtSebe Nicuedthttp://id.loc.gov/vocabulary/relators/edtWelling Maxedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465381903316Computer Vision – ECCV 20162808116UNISA04086nam 22008293u 450 991077991620332120230207222951.01-135-71009-01-135-71010-41-280-33288-30-203-01919-9(CKB)111056486528940(EBL)165302(OCoLC)57013705(SSID)ssj0000134078(PQKBManifestationID)11954056(PQKBTitleCode)TC0000134078(PQKBWorkID)10046547(PQKB)10693322(MiAaPQ)EBC165302(EXLCZ)9911105648652894020130418d2002|||| u|| |engur|n|---|||||txtccrThe Curriculum of the Future[electronic resource] From the 'New Sociology of Education' to a Critical Theory of LearningHoboken Taylor and Francis20021 online resource (215 p.)Description based upon print version of record.0-7507-0789-5 Book Cover; Title; Contents; Acknowledgments; Introduction; Constructing and Reconstructing a Sociology of the Curriculum; The Curriculum as Socially Organized Knowledge; Curriculum Change: Limits and Possibilities; The Curriculum and the 'New Sociology of Education'; Academic/Vocational Divisions in the Curriculum of the Future; Bridging Academic/Vocational Divisions in the 14 19 Curriculum: A New Perspective on Linking Education and Work; The Economic Basis for the Curriculum for the 21st Century; Modularization as a Strategy for Unifying the Post-compulsory CurriculumIntegrating Personal and Social Education into the 14 19 CurriculumQualifications for a Learning Society: Building on the Dearing Review; Beyond A-Levels: Towards an Advanced Level Curriculum of the Future; Knowledge, Learning and Curriculum in a Learning Society; Post-compulsory Education in a Learning Society; Towards a New Curriculum for Teacher Education; From the 'New Sociology of Education' to a Critical Theory of Learning; Notes; References; Chronology of Original Papers; IndexIn this important book the author looks back on the 'knowledge question'. What knowledge gets selected to be validated as school knowledge or as part of the school curriculum, and why is it selected? Looking forward, Young discusses how most developed countries have high levels of participation in post-compulsory education, but still use curricula designed for a time when only the elite pursued further education. He argues the need to rethink post-16 education to shift focus onto vocational education, school-work issues and lifelong learning.Aims and objectivesCurriculum changeCurriculum planningEducationEducational sociologyEducational sociology - Great BritainGreat BritainSocial aspectsEducational sociologyAims and objectivesGreat BritainEducationCurriculaGreat BritainEducationGreat BritainEducationHILCCSocial SciencesHILCCEducation, Special TopicsHILCCAims and objectives.Curriculum change.Curriculum planning.Education.Educational sociology.Educational sociology - Great Britain.Great Britain.Social aspects.Educational sociologyAims and objectivesEducationCurriculaEducationEducationSocial SciencesEducation, Special Topics375.006Young Michael F. D1526697AU-PeELAU-PeELAU-PeELBOOK9910779916203321The Curriculum of the Future3768909UNINA