Computer Vision & Pattern Recognition

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior...

There are currently thousands of amateur astronomers around the world engaged in astrophotography at a sophisticated level. Their ranks far outnumber professional astronomers doing the same and their contributions both technically and artistically are...

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while...

SimpleCV is a cross platform (Windows, Macintosh, Linux) framework in Python that makes writing computer vision applications quick and easy. This book takes you through real world examples and applications using SimpleCV so that anyone, even with zero...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789355515919Author Arindam BanerjeeFormat PaperbackPage Count 428Imprint BPB PublicationsPublisher BPB PublicationsDimensions(mm) 240mm * 190mm * 20mm

Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning machines applied to information science have a parameter space that is singular:...

A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more. Key Features Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras...

What are citizens of a free country willing to tolerate in the name of public safety? Jon Fasman journeys from the US to London - one of the most heavily surveilled cities on earth - to China and beyond, to expose the legal, political, and moral...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789355510471Author Mohan Kumar SilaparasettyFormat PaperbackPage Count 286Imprint Bpb PublicationsPublisher Bpb PublicationsWeight(grams) 494g

Welcome to the Vision Revolution. With Microsoft's Kinect leading the way, you can now use 3D computer vision technology to build digital 3D models of people and objects that you can manipulate with gestures and spoken commands. This hands-on guide...

This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students,...

Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is...

This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. Research on pattern classification with...

Biometric recognition, or simply biometrics, is the science of establishing the identity of a person based on physical or behavioral attributes. It is a rapidly evolving field with applications ranging from securely accessing one's computer to gaining...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781761590047Author Andrew HintonFormat PaperbackPage Count 172Imprint Book Bound StudiosPublisher Book Bound StudiosWeight(grams) 236g

Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small...

This book presents a unified theory of random matrices for applications in machine learning, offering a large-dimensional data vision that exploits concentration and universality phenomena. This enables a precise understanding, and possible improvements,...

Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About This Book * Load, store, edit, and visualize data using OpenCV and Python * Grasp the fundamental concepts of classification,...

The goal of data compression is to reduce the number of bits needed to represent useful information. Neural, or learned compression, is the application of neural networks and related machine learning techniques to this task. This monograph aims to serve...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781942878933Author Alexis GallagherFormat PaperbackPage Count 600Imprint Razeware LLCPublisher Razeware LLCWeight(grams) 1016gDimensions(mm) 235mm * 191mm *...

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a...

Work on practical computer vision projects covering advanced object detector techniques and modern deep learning and machine learning algorithms Key Features Learn about the new features that help unlock the full potential of OpenCV 4 Build face...

If you are interested in learning how to test web applications and the web part of mobile applications using Burp, then this is the book for you. It is specifically designed to meet your needs if you have basic experience in using Burp and are now aiming...

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial...

Explore Detectron2 using cutting-edge models and learn all about implementing future computer vision applications in custom domains Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn how to tackle common computer...

The author defines "Geometric Algebra Computing" as the geometrically intuitive development of algorithms using geometric algebra with a focus on their efficient implementation, and the goal of this book is to lay the foundations for the...

Apply neural network architectures to build state-of-the-art computer vision applications using Python Key Features * Discover tips and techniques for building expert computer vision applications * Implement machine learning (ML) techniques to solve...

Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational...

Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where...

Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and...

This comprehensive book systematically introduces Dynamic Data Driven Simulation (DDDS) as a new simulation paradigm that makes real-time data and simulation model work together to enable simulation-based prediction/analysis.The text is significantly...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780611340061Author Herman StrangeFormat PaperbackPage Count 96Imprint PN BooksPublisher PN BooksWeight(grams) 141gDimensions(mm) 229mm * 152mm * 5mm

Practical end-to-end projects covering cutting-edge computer vision concepts such as image processing, machine learning, augmented reality, and artificial neural networks Key Features * Build computer vision projects to capture high-quality image data,...

A practical guide designed to get you from basics to current state of art in computer vision systems. About This Book * Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease *...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262537490Author Hany FaridFormat PaperbackPage Count 232Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 178mm * 127mm * 14mm

Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems...

If you are a Java developer, student, researcher, or hobbyist wanting to create computer vision applications in Java then this book is for you. If you are an experienced C/C++ developer who is used to working with OpenCV, you will also find this book...

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a...

Gain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videos Key Features Implement image classification and object detection using machine learning and deep learning Perform image...

Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3 About This Book * Written to the latest, gold-standard specification of OpenCV 3 * Master OpenCV, the open source library of the computer...