Less-supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main app...Lasīt vairāk
This Element discusses the creation and analysis of a 1.5 million-word corpus of UK national press articles on Islam and Muslims from Dec. 2022Nov. 2023, including AI-tagged images. It evaluates text, images, and interactions, highlighting Vertex AI...Lasīt vairāk
(Izdošanas datums: 24-Jul-2025, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781009581240)
This Element discusses the creation and analysis of a 1.5 million-word corpus of UK national press articles on Islam and Muslims from Dec. 2022Nov. 2023, including AI-tagged images. It evaluates text, images, and interactions, highlighting Vertex AI...Lasīt vairāk
The fifth edition of this core textbook in advanced remote sensing continues to maintain its emphasis on statistically motivated, data-driven techniques for remote sensing image analysis. The theoretical substance remains essentially the same, wit...Lasīt vairāk
This book addresses the critical challenge of limited training data in deep learning for computer vision by exploring and evaluating various image augmentation techniques, with a particular emphasis on deep...Lasīt vairāk
(Izdošanas datums: 24-Apr-2025, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781009356206)
Fully revised and updated, the second edition of this classic text is the definitive guide to the mathematical models underlying imaging from sensed data. This refreshed and expanded edition presents new coverage of key topics in medical imaging, and...Lasīt vairāk
(Izdošanas datums: 27-Mar-2025, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781394269266)
Preface The field of Artificial intelligence has undergone a significant transformation in the last decade, moving from traditional machine learning approaches to more sophisticated deep learning techniques. This evolution has brought extraordinary...Lasīt vairāk
This book provides readers with a comprehensive understanding of Generative Adversarial Networks (GANs) and empower them to effectively utilize GANs for image generation purposes, from basic principles to advanced techniques--...Lasīt vairāk
The new edition will have separate volumes for computer vision and human-based vision applications. The first volume, Computer Vision and Image Analysis, will focus on the topics needed for computer vision systems development. It will feature more ex...Lasīt vairāk
The text presents mathematical modeling techniques such as wavelet transform, differential calculus, and numerical techniques for multi-dimensional data. It will serve as an ideal reference text for graduate students and academic researchers in di...Lasīt vairāk
(Izdošanas datums: 13-Nov-2024, Hardback, Izdevniecība: Institute of Physics Publishing, ISBN-13: 9780750359672)
Designed for a one semester course, the aim of this book is to concentrate on the principles and techniques of image processing. This second edition includes important updates to the first edition, as well as two entirely new chapters, making the...Lasīt vairāk
This discounted two-book set contains both; Fundamentals of Image, Audio, and Video Processing Using MATLAB® and Fundamentals of Graphics Using MATLAB®. This discounted two-book set contains BOTH:F...Lasīt vairāk
Computer vision and image analysis is a field that continues to advance at an ever increasing pace, with applications ranging from medical diagnostics to space exploration. The diversity of applications is one of the driving forces that make it su...Lasīt vairāk
This new volume provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. Explaining the machine learning algorithms and models involved, the authors differentiate between the various al...Lasīt vairāk
This book presents deep learning techniques for video understanding. For deep learning basics, the authors cover machine learning pipelines and notations, 2D and 3D Convolutional Neural Networks for spatial and temporal feature learning. For actio...Lasīt vairāk
Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer scienc...Lasīt vairāk
