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181   $ctxt$2rdacontent
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200 10$aHybrid Imaging and Visualization $eEmploying Machine Learning with Mathematica - Python /$fby Joseph Awange, Béla Paláncz, Lajos Völgyesi
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (xvii, 406 pages) $cillustrations
311 08$a3-030-26152-2 
320   $aIncludes bibliographical references.
327   $aDimension reduction -- Classification -- Clustering -- Regression -- Neural Networks.
330   $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.
606   $aRemote sensing
606   $aOptical data processing
606   $aGeophysics
606   $aSpace sciences
606   $aRemote Sensing/Photogrammetry$3https://scigraph.springernature.com/ontologies/product-market-codes/J13010
606   $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005
606   $aGeophysics/Geodesy$3https://scigraph.springernature.com/ontologies/product-market-codes/G18009
606   $aSpace Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)$3https://scigraph.springernature.com/ontologies/product-market-codes/P22030
615  0$aRemote sensing.
615  0$aOptical data processing.
615  0$aGeophysics.
615  0$aSpace sciences.
615 14$aRemote Sensing/Photogrammetry.
615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics.
615 24$aGeophysics/Geodesy.
615 24$aSpace Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics).
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702   $aPaláncz$b Béla$4aut$4http://id.loc.gov/vocabulary/relators/aut
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