Hybrid Imaging and Visualization : Employing Machine Learning with Mathematica - Python / / by Joseph Awange, Béla Paláncz, Lajos Völgyesi
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| Autore: |
Awange Joseph
|
| Titolo: |
Hybrid Imaging and Visualization : Employing Machine Learning with Mathematica - Python / / by Joseph Awange, Béla Paláncz, Lajos Völgyesi
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (xvii, 406 pages) : illustrations |
| Disciplina: | 006.31 |
| Soggetto topico: | 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) | |
| Persona (resp. second.): | PalánczBéla |
| VölgyesiLajos | |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | Dimension reduction -- Classification -- Clustering -- Regression -- Neural Networks. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Hybrid Imaging and Visualization |
| ISBN: | 3-030-26153-0 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910366653803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |