Hybrid Imaging and Visualization

Employing Machine Learning with Mathematica - Python

Joseph Awange, Béla Paláncz, Lajos Völgyesi (Autoren)

Buch | Softcover

XVII, 406 Seiten

2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-26155-9 (ISBN)

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The 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.

Professor Joseph Awange joined the Department of Spatial Sciences (Curtin University, Australia) in 2006 under a Curtin Research Fellowship and concurrently undertook the prestigious Alexander von Humboldt (AvH) Fellowship at the Geodetic Institute (Karlsruhe Institute of Technology, Germany) having been awarded the Australian 2008-2011 Ludwig Leichhardt Memorial Fellowship for experienced researchers. In 2015, he won all the three major Fellowship Awards: Alexander von Humboldt (Germany), Japan Society of Promotion of Science (Japan) and Brazil Frontier of Science (Brazil) to carry out research in those countries. At Curtin University, he is currently engaged in teaching and research having attracted more than $1.5M worth of research grants. He obtained his BSc and MSc degrees in Surveying from the University of Nairobi (Kenya), and was also awarded a merit scholarship by the German Academic Exchange Program (DAAD), which facilitated his obtaining a second MSc degree and PhD in Geodesy at Stuttgart University (Germany). In 2002-2004, he was awarded the prestigious Japan Society for Promotion of Science (JSPS) Fellowship to pursue postdoctoral research at Kyoto University (Japan). Prof Awange attained International Editorial role in Springer Earth Science Books and has authored 11 scholarly books with the prestigious Springer publishers and more than 130 peer-reviewed high impact journal publications (in e,g., Remote Sensing of Environment, Journal of Climate, Climatic Change, Advances in Water Resources, International Journal of Climatology, and Journal of Hydrology among others).

Dimension reduction.- Classification.- Clustering.- Regression.- Neural Networks.

Erscheinungsdatum	17.12.2020
Zusatzinfo	XVII, 406 p. 521 illus., 456 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	600 g
Themenwelt	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
Schlagworte	Computational algorithms for visualization • computer vision • Convolution Neural Networks • Data Visualization • Hybrid Imaging • Hybrid symbolic-numeric computations • Hybrid visualization • Image Compression • Image Recognition • Laser scanning • Photogrammetry • Remote Sensing/Photogrammetry • Restoration images • symbolic-numeric computation
ISBN-10	3-030-26155-7 / 3030261557
ISBN-13	978-3-030-26155-9 / 9783030261559
Zustand	Neuware