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Hybrid imaging and visualization = e...

Awange, Joseph.

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Hybrid imaging and visualization = employing machine learning with Mathematica - Python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hybrid imaging and visualization/ by Joseph Awange, Bela Palancz, Lajos Volgyesi.
Reminder of title:	employing machine learning with Mathematica - Python /
Author:	Awange, Joseph.
other author:	Palancz, Bela.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xvii, 406 p. :ill., digital ;24 cm.
[NT 15003449]:	Dimension reduction -- Classification -- Clustering -- Regression -- Neural Networks.
Contained By:	Springer eBooks
Subject:	Computer vision. -
Online resource:	https://doi.org/10.1007/978-3-030-26153-5
ISBN:	9783030261535

Hybrid imaging and visualization = employing machine learning with Mathematica - Python /
Awange, Joseph.

Hybrid imaging and visualizationemploying machine learning with Mathematica - Python /[electronic resource] :by Joseph Awange, Bela Palancz, Lajos Volgyesi. - Cham :Springer International Publishing :2020. - xvii, 406 p. :ill., digital ;24 cm.

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.

ISBN: 9783030261535

Standard No.: 10.1007/978-3-030-26153-5doiSubjects--Topical Terms:

540671
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Hybrid imaging and visualization = employing machine learning with Mathematica - Python /
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100 1 $a Awange, Joseph. $3 1620329
245 1 0 $a Hybrid imaging and visualization $h [electronic resource] : $b employing machine learning with Mathematica - Python / $c by Joseph Awange, Bela Palancz, Lajos Volgyesi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xvii, 406 p. : $b ill., digital ; $c 24 cm.
505 0 $a Dimension reduction -- Classification -- Clustering -- Regression -- Neural Networks.
520 $a 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.
650 0 $a Computer vision. $3 540671
650 1 4 $a Remote Sensing/Photogrammetry. $3 890882
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Geophysics/Geodesy. $3 891016
650 2 4 $a Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) $3 3217206
700 1 $a Palancz, Bela. $3 2181757
700 1 $a Volgyesi, Lajos. $3 3445200
710 2 $a SpringerLink (Online service) $3 836513
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856 4 0 $u https://doi.org/10.1007/978-3-030-26153-5
950 $a Earth and Environmental Science (Springer-11646)