Hybrid Imaging and Visualization
Employing Machine Learning with Mathematica - Python
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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.
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.
A pioneering book on hybrid methods applied to imaging and visualization Offers simple presentation of the methods, understandable to wide readership Associated algorithms deposited on iCloud
Autor*in
Joseph Awange
Themen in »Hybrid Imaging and Visualization«
Hybrid visualization Hybrid imaging Photogrammetry Laser Scanning Computer Vision Restoration images Image compression Image recognition Hybrid symbolic-numeric computations Convolution neural networks Symbolic-numeric computation Computational algorithms for visualization Data visualization remote sensing/photogrammetry