Pattern Recognition Concepts Methods And Applications Pdf

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Pattern Recognition

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Sa Published Computer Science. The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas. It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques.

Joaquim P. Marques de: Pattern recognition : concepts, methods and applications I J. Marques de Sa. AII rights are reserved, whether the whole or part of the material is con cerned, specifically the rights of translation, reprinting, reuse of illustrations, recitations, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German copyright Law of September 9, ', in its CUfrent version, and permission for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law.

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Advantages and Pitfalls of Pattern Recognition, Volume 3

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field. Buy Hardcover. Add to Cart. More Information.

It seems that you're in Germany. We have a dedicated site for Germany. The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas e. It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques. These are explained in a unified and innovative way, with multiple examples enhancing the clarification of concepts and the application of methods. A CD offered with the book includes datasets and software tools, making it easier for the reader to follow the taught matters in a hands-on fashion right from the start.

Pattern recognition is the automated recognition of patterns and regularities in data. It has applications in statistical data analysis , signal processing , image analysis , information retrieval , bioinformatics , data compression , computer graphics and machine learning. Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the use of machine learning , due to the increased availability of big data and a new abundance of processing power. However, these activities can be viewed as two facets of the same field of application, and together they have undergone substantial development over the past few decades. A modern definition of pattern recognition is:.

Pattern Recognition: Concepts, Methods and Applications

Part I: From Data to Methods 1. Patterns, Objects, and Features 2. Supervised Learning 3.

Pattern Recognition – Concepts, Methods And Applications3540422978, 9783540422976

It gives a good introduction into the field of clustering and pattern recognition. Although primarily aimed at undergraduate and graduate engineering and computer science students, its clear and practical coverage also makes it suitable for physicians, biologists, geologists and economists.

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Pattern recognition

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3 Response
  1. CibrГЎn M.

    This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering.

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  3. Marie H.

    Buy this book · ISBN · Digitally watermarked, DRM-free · Included format: PDF · ebooks can be used on all reading devices · Immediate eBook.

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