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This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It;
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This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding;
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Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an;
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learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications;
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variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for;
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vision systems. Areas covered include the significance of vision research, psychology and computer vision, existing computational visual;
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Computing in Computer Vision; Computational Intelligence and Security for Image Applications in Social Network; Neural Networks: Theory and;
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trends in computer vision. After reading this book, you will be able to understand and implement computer vision and its applications with;
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networks for pattern recognition; computer vision and robot vision; video segmentation and tracking.;
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in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval;
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theory of algebraic curves and its most important applications to coding theory.;
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, computer vision and applications, image segmentation and classification, video surveillance, biomedical image processing and analysis, object and;
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; genetic coding systems; deep learning and its medical applications; and knowledge representation and its applications in education. Given its;
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This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it;
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, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the;
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processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision;
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processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision;
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processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision;
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Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and;
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in iOS reveals the rich capabilities in image processing and computer vision. Its main goal is to provide a road map to what is currently;
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Directed at third-year undergraduates and postgraduates this challenging text offers a complete and up-to-date introduction to computer;
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, engineering techniques, genetic coding systems, deep learning with its medical applications, and knowledge representation with its applications;
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, engineering techniques, genetic coding systems, deep learning with its medical applications, and knowledge representation with its applications;
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connections between coding theory and other branches of mathematics and computer science. Part 3, "Applications", deals with a variety of applications;
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Computer Vision (VISAPP), the International Conference on Computer Graphics, GRAPP 2014 and the International Conference on Information;
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studies the combinatorial aspect of the problem and is particularly related to many topics in combinatorics, computer science and operations;
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Unleash the power of computer vision with Python using OpenCV About This Book * Create impressive applications with OpenCV and Python;
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