img Leseprobe Leseprobe

Hybrid Imaging and Visualization

Employing Machine Learning with Mathematica - Python

Joseph Awange, Lajos Völgyesi, Béla Paláncz, et al.

PDF
ca. 171,19

Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Geografie

Beschreibung

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.

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Schlagwörter

Image recognition, remote sensing/photogrammetry, Laser Scanning, Computer Vision, Convolution neural networks, Hybrid visualization, Hybrid symbolic-numeric computations, Image compression, Photogrammetry, Computational algorithms for visualization, Restoration images, Hybrid imaging, Data visualization, Symbolic-numeric computation