Wolfram Library Archive


Courseware Demos MathSource Technical Notes
All Collections Articles Books Conference Proceedings
Title

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python
Authors

Joseph Awange
Organization: Curtin University of Technology
Department: Spatial Sciences, Division of Resource and Environmental
Bela Palancz
Organization: Budapest University of Technology and Economics
Department: Photogrammetry and Geoinformatics
Lajos Volgyesi
Organization: Budapest University of Technology and Economics
Department: Department of Geodesy and Surveying
Book information

Publisher: Springer
Copyright year: 2020
ISBN: 9783030261528
Pages: 423
Out of print?: N
Buy this book
Book cover image
Description

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.
Subjects

*Applied Mathematics > Visualization
*Wolfram Technology > Mathematica