Automated Pattern Recognition Tools

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Intelligent automation is the combination of artificial intelligence (AI) and robotic process automation (RPA) that is used to create smart business processes and workflows that think, learn, and make decisions on their own.It represents an evolved stage of automation in which machines mimic human actions and possess cognitive capabilities, including machine vision, natural language generation…

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The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the later chapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning. • Author: Geoff Dougherty • ISBN:9781493953356 • Format:Paperback • Publication Date:2017-04-30

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Algebraic Methods in Pattern Recognition: Course Held at the Department of Automation and Information, July 1971 • Author: Juliusz Kulikowski • ISBN:9783211811283 • Format:Paperback • Publication Date:1973-06-26

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This volume, both comprehensive and accessible, introduces all the key concepts in pattern recognition, and includes many examples and exercises that make it an ideal guide to an important methodology widely deployed in today’s ubiquitous automated systems. Introduction.- Classification.- Nonmetric Methods.- Statistical Pattern Recognition.- Supervised Learning.- Nonparametric Learning.- Feature Extraction and Selection.- Unsupervised Learning.- Estimating and Comparing Classifiers.- Projects • Author: Geoff Dougherty • ISBN:9781461453222 • Format:Hardcover • Publication Date:2012-10-29

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From autonomous vehicles, predictive analytics applications, facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI are many.

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Integrates computer vision, pattern recognition, and AI. Presents original research that will benefit researchers and professionals in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data mining, cybernetics, robotics, automation and psychology Product DetailsISBN-13: 9781441919434 Publisher: Springer New York Publication Date: 11-29-2010 Pages: 296 Product Dimensions: 6.10(w) x 9.25(h) x 0.36(d) Series: Monographs in Computer Science

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The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification. Premier Reference Source: Pattern Recognition Technologies and Applications: Recent Advances (Hardcover)