Scale Space and Variational Methods in Computer Vision, Jan Lellmann; Martin Burger; Jan Modersitzki
Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 66520.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
Автор: Pelillo Название: Energy Minimization Methods in Computer Vision and Pattern Recognition ISBN: 3319781987 ISBN-13(EAN): 9783319781983 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2017, held in Venice, Italy, in October/November 2017. The 37 revised full papers were carefully reviewed and selected from 51 submissions.
The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images.
Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
Автор: Schоnlieb Название: Partial Differential Equation Methods for Image Inpainting ISBN: 1107001005 ISBN-13(EAN): 9781107001008 Издательство: Cambridge Academ Рейтинг: Цена: 81300.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is concerned with digital image processing techniques that use partial differential equations (PDEs) for the task of image 'inpainting', an artistic term for virtual image restoration or interpolation, whereby missing or occluded parts in images are completed based on information provided by intact parts. Computer graphic designers, artists and photographers have long used manual inpainting to restore damaged paintings or manipulate photographs. Today, mathematicians apply powerful methods based on PDEs to automate this task. This book introduces the mathematical concept of PDEs for virtual image restoration. It gives the full picture, from the first modelling steps originating in Gestalt theory and arts restoration to the analysis of resulting PDE models, numerical realisation and real-world application. This broad approach also gives insight into functional analysis, variational calculus, optimisation and numerical analysis and will appeal to researchers and graduate students in mathematics with an interest in image processing and mathematical analysis.
Автор: Xue-Cheng Tai; Knut Morken; Marius Lysaker; Knut-A Название: Scale Space and Variational Methods in Computer Vision ISBN: 3642022553 ISBN-13(EAN): 9783642022555 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains 71 original, scienti?c articles that address state-of-the-art researchrelatedto scale space and variationalmethods for image processing and computer vision.
Автор: Andr?s Bruhn; Thomas Pock; Xue-Cheng Tai Название: Efficient Algorithms for Global Optimization Methods in Computer Vision ISBN: 3642547737 ISBN-13(EAN): 9783642547737 Издательство: Springer Рейтинг: Цена: 37270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011.
Автор: Anders Heyden; Fredrik Kahl; Carl Olsson; Magnus O Название: Energy Minimization Methods in Computer Vision and Pattern Recognition ISBN: 3642403948 ISBN-13(EAN): 9783642403941 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The papers are organized in topical sections on Medical Imaging;
Автор: Otmar Scherzer; Markus Grasmair; Harald Grossauer; Название: Variational Methods in Imaging ISBN: 1441921664 ISBN-13(EAN): 9781441921666 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With its mathematically rigorous presentation, this book is a detailed treatment of the approach from an inverse problems point of view. It is geared towards graduate students and researchers in applied mathematics and can serve as a text for graduate courses.
Автор: Barfoot Timothy D Название: State Estimation for Robotics ISBN: 1107159393 ISBN-13(EAN): 9781107159396 Издательство: Cambridge Academ Рейтинг: Цена: 95030.00 T Наличие на складе: Невозможна поставка. Описание: This book is intended for students and practitioners of robotics who are interested in using noisy sensor data to estimate the position, orientation, and other state variables of robots as they move through the three-dimensional world. It covers classical and modern techniques commonly used in robotics today.
Автор: Igelnik & Zurada Название: Efficiency And Scalability Methods For Computational Intellect ISBN: 1466639423 ISBN-13(EAN): 9781466639423 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 189420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Computational modelling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area. <em>Efficiency and Scalability Methods for Computational Intellect</em> presents various theories and methods for approaching the problem of modelling and simulating intellect in order to target computation efficiency and scalability of proposed methods. Researchers, instructors, and graduate students will benefit from this current research and will in turn be able to apply the knowledge in an effective manner to gain an understanding of how to improve this field.
Автор: Xue-Cheng Tai; Egil Bae; Tony F. Chan; Marius Lysa Название: Energy Minimization Methods in Computer Vision and Pattern Recognition ISBN: 3319146114 ISBN-13(EAN): 9783319146119 Издательство: Springer Рейтинг: Цена: 67080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. PDE and variational methods;
Автор: Xiao Bai, Jian Cheng, Edwin Hancock Название: Graph-Based Methods in Computer Vision: Developments and Applications ISBN: 1466618914 ISBN-13(EAN): 9781466618916 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 189420.00 T Наличие на складе: Невозможна поставка. Описание: Presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.
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