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000923644 019__ $$a1129207077$$a1129392485
000923644 020__ $$a9783030261535
000923644 020__ $$a3030261530
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000923644 020__ $$z9783030261528
000923644 0247_ $$a10.1007/978-3-030-26
000923644 035__ $$aSP(OCoLC)on1129181668
000923644 035__ $$aSP(OCoLC)1129181668$$z(OCoLC)1129207077$$z(OCoLC)1129392485
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000923644 050_4 $$aTA1634
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000923644 08204 $$a006.3/7$$223
000923644 1001_ $$aAwange, Joseph.
000923644 24510 $$aHybrid Imaging and Visualization :$$bEmploying Machine Learning with Mathematica - Python /$$cJoseph Awange, Béla Paláncz, Lajos Völgyesi.
000923644 260__ $$aCham :$$bSpringer,$$cc2020.
000923644 300__ $$a1 online resource (419 pages)
000923644 336__ $$atext$$btxt$$2rdacontent
000923644 337__ $$acomputer$$bc$$2rdamedia
000923644 338__ $$aonline resource$$bcr$$2rdacarrier
000923644 504__ $$aIncludes bibliographical references.
000923644 506__ $$aAccess limited to authorized users.
000923644 520__ $$aThe book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks generalized by up-to-date points of view. Associated algorithms are deposited on iCloud.
000923644 588__ $$aDescription based on print version record.
000923644 650_0 $$aComputer vision.
000923644 7001_ $$aPaláncz, Béla,$$d1944-
000923644 7001_ $$aVölgyesi, Lajos.
000923644 77608 $$iPrint version:$$aAwange, Joseph$$tHybrid Imaging and Visualization : Employing Machine Learning with Mathematica - Python$$dCham : Springer,c2019$$z9783030261528
000923644 852__ $$bebk
000923644 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-26153-5$$zOnline Access$$91397441.1
000923644 909CO $$ooai:library.usi.edu:923644$$pGLOBAL_SET
000923644 980__ $$aEBOOK
000923644 980__ $$aBIB
000923644 982__ $$aEbook
000923644 983__ $$aOnline
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