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Hybrid imaging and visualizationempl...

Awange, Joseph.

Hybrid imaging and visualizationemploying machine learning with Mathematica - Python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hybrid imaging and visualizationby 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.
Contained By:	Springer eBooks
Subject:	Computer vision.
Online resource:	https://doi.org/10.1007/978-3-030-26153-5
ISBN:	9783030261535$q(electronic bk.)

Hybrid imaging and visualizationemploying 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$q(electronic bk.)

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

200113
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Hybrid imaging and visualizationemploying machine learning with Mathematica - Python /
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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 200113
650 1 4 $a Remote Sensing/Photogrammetry. $3 274522
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Geophysics/Geodesy. $3 274000
650 2 4 $a Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) $3 770123
700 1 $a Palancz, Bela. $3 739620
700 1 $a Volgyesi, Lajos. $3 861569
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