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OverviewFull Product DetailsAuthor: Klaus D. ToenniesPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore Edition: 1st ed. 2024 Weight: 0.629kg ISBN: 9789819978816ISBN 10: 9819978815 Pages: 290 Publication Date: 25 January 2024 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 1. Image Classification – A Computer Vision Task.- Chapter 2. Image Features – Extraction and Categories.- Chapter 3. Feature Reduction.- Chapter 4. Bayesian Image Classification in Feature Space.- Chapter 5. Distance-based Classifiers.- Chapter 6. Decision Boundaries in Feature Space.- Chapter 7. Multi-layer Perceptron for Image Classification.- Chapter 8. Feature Extraction by Convolutional Neural Network.- Chapter 9. Network Set-up for Image Classification.- Chapter 10. Basic Network Training for Image Classification.- Chapter 11. Dealing with Training Deficiencies.- Chapter 12. Learning Effects and Network Decisions.ReviewsAuthor InformationKlaus D. Toennies is a retired professor of Computer Science at the Otto-von-Guericke-Universitaet (OvGU) Magdeburg in Germany. From 1998 to 2022, he led the Computer Vision Group at OvGU. Since 2022, he has served as a visiting professor at the German Faculty of Engineering at the Technical University Sofia, collaborating on the development of an Artificial Intelligence syllabus for the faculty’s Computer Science programs. Prof. Toennies has authored several books and numerous journal papers on topics in image processing, computer vision, and image analysis for Medical Images, including the Springer book Guide to Medical Image Analysis. Tab Content 6Author Website:Countries AvailableAll regions |