Foundations of Multidimensional and Metric Data Structures,, Hanan Samet
Автор: Bose N.K. Название: Multidimensional Systems Theory and Applications ISBN: 1402016239 ISBN-13(EAN): 9781402016233 Издательство: Springer Рейтинг: Цена: 19428 р. Наличие на складе: Поставка под заказ.
Описание: This second edition brings the reader on par with the flurry of research results generated during the last two decades in the theory and applications of multidimensional systems. This book has an abundance of examples to illustrate advanced concepts and brings out, for the first time, in a text book setting the algorithms for bivariate polynomial matrix factorization results that form the basis of two-dimensional systems theory.The reader is alerted to the reasons for the difficulties in generalization to the higher dimensional case. Algorithms and their implementation using symbolic algebra are emphasized.
Автор: Krig Название: Computer Vision Metrics ISBN: 3319337610 ISBN-13(EAN): 9783319337616 Издательство: Springer Рейтинг: Цена: 16334 р. Наличие на складе: Поставка под заказ.
Описание:
Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods. With over 800 essential references, as well as chapter-by-chapter learning assignments, both students and researchers can dig deeper into core computer vision topics. The survey covers everything from feature descriptors, regional and global feature metrics, feature learning architectures, deep learning, neuroscience of vision, neural networks, and detailed example architectures to illustrate computer vision hardware and software optimization methods.
To complement the survey, the textbook includes useful analyses which provide insight into the goals of various methods, why they work, and how they may be optimized.
The text delivers an essential survey and a valuable taxonomy, thus providing a key learning tool for students, researchers and engineers, to supplement the many effective hands-on resources and open source projects, such as OpenCVand other imaging and deep learning tools.
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