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Hybrid Imaging and Visualization [electronic resource] : Employing Machine Learning with Mathematica - Python / by Joseph Awange, Béla Paláncz, Lajos Völgyesi.

By: Awange, Joseph [author.]Contributor(s): Paláncz, Béla [author.] | Völgyesi, Lajos [author.] | SpringerLink (Online service)Material type: Text

TextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XVII, 406 p. 521 illus., 456 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783030261535Subject(s): Remote sensing | Optical data processing | Geophysics | Space sciences | Remote Sensing/Photogrammetry | Computer Imaging, Vision, Pattern Recognition and Graphics | Geophysics/Geodesy | Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 910.285 LOC classification: GA102.4.R44G70.39-70.6Online resources: Click here to access online

Contents:

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

In: Springer Nature eBookSummary: 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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Dimension reduction -- Classification -- Clustering -- Regression -- Neural Networks.

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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