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Hybrid Imaging and Visualization

Employing Machine Learning with Mathematica - Python

  • Joseph Awange
  • Béla Paláncz
  • Lajos Völgyesi
Book

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Joseph Awange, Béla Paláncz, Lajos Völgyesi
    Pages 9-85
  3. Joseph Awange, Béla Paláncz, Lajos Völgyesi
    Pages 87-148
  4. Joseph Awange, Béla Paláncz, Lajos Völgyesi
    Pages 149-195
  5. Joseph Awange, Béla Paláncz, Lajos Völgyesi
    Pages 197-292
  6. Joseph Awange, Béla Paláncz, Lajos Völgyesi
    Pages 293-411

About this book

Introduction

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.

Keywords

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

Authors and affiliations

  • Joseph Awange
    • 1
  • Béla Paláncz
    • 2
  • Lajos Völgyesi
    • 3
  1. 1.Spatial SciencesCurtin UniversityPerthAustralia
  2. 2.Department of Photogrammetry & GeoinformaticsBudapest University of Technology & EconomicsBudapestHungary
  3. 3.Department of Geodesy & SurveyingBudapest University of Technology & EconomicsBudapestHungary

Bibliographic information