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Soft cover. Condition: New. Contents 1 Introduction 2 Representation 3 Nearest Neighbour Based Classifiers 4 Bayes Classifier 5 Hidden Markov Models 6 Decision Trees 7 Support Vector Machines 8 Combination of Classifiers 9 Clustering 10 Summary 11 An Application Handwritten Digit Recognition Discussion Further Reading BibliographyObserving the environment and recognising patterns for the purpose of decision making is fundamental to human nature This book deals with the scientific discipline that enables similar perception in machines through pattern recognition which has application in diverse technology areas character recognition image processing industrial automation internet searches speech recognition medical diagnostics target recognition space science remote sensing data mining biometric identification to name a few This book is an exposition of principal topics in pattern recognition using an algorithmic approach It provides a thorough introduction to the concepts of pattern recognition and a systematic account of the major topics in pattern recognition besides reviewing the vast progress made in the field in recent times It includes basic techniques of pattern recognition neural networks support vector machines and decision trees While theoretical aspects have been given due coverage the emphasis is more on the practical The book is replete with examples and illustrations and includes chapter-end exercises 352 pp.
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Condition: New. pp. xii + 263 1st Edition.
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Condition: New. Print on Demand.
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Pattern Recognition: An Algorithmic Approach
Book 24 of 99: Undergraduate Topics in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc, 2011
ISBN 10: 0857294946 ISBN 13: 9780857294944
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Add to basketPaperback. Condition: Brand New. 275 pages. 9.25x6.75x0.75 inches. In Stock.
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Pattern Recognition: An Algorithmic Approach (Undergraduate Topics in Computer Science)
Book 24 of 99: Undergraduate Topics in Computer ScienceUS$ 98.84
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Optimal Prototype Selection for Efficient Pattern Classification | Techniques and Applications
Language: English
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363923913X ISBN 13: 9783639239133
Taschenbuch. Condition: Neu. Optimal Prototype Selection for Efficient Pattern Classification | Techniques and Applications | V. Susheela Devi | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639239133 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Introduction to Pattern Recognition and Machine Learning
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Introduction to Pattern Recognition and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Optimal Prototype Selection for Efficient Pattern Classification: Techniques and Applications
Language: English
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363923913X ISBN 13: 9783639239133
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Introduction to Pattern Recognition and Machine Learning
Language: English
Published by World Scientific Pub Co Inc, 2015
ISBN 10: 9814335452 ISBN 13: 9789814335454
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Add to basketHardcover. Condition: Brand New. 383 pages. 9.50x6.50x1.00 inches. In Stock.
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Condition: New. Print on Demand pp. xii + 263.
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Condition: New. PRINT ON DEMAND pp. xii + 263.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains numerous exercises, as well as learning objectives and summaries for each chapterExplains the hidden Markov model for speech and speaker recognition tasksDiscusses support vector machines, with suitable examplesDr. M. N.
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Optimal Prototype Selection for Efficient Pattern Classification
Language: English
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363923913X ISBN 13: 9783639239133
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Devi V. SusheelaDr. V. Susheela Devi is at present working in the Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India. She works in the areas of Pattern Recognition, Artificial Intelligence a.
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Optimal Prototype Selection for Efficient Pattern Classification : Techniques and Applications
Language: English
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363923913X ISBN 13: 9783639239133
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with the task of prototype selection from the training set in the context of supervised learning. When the training set is large,use of the entire training set is often time-consuming and wasteful. In such cases, reducing the training set could be quite helpful. Prototype selection is also useful when the training set is too large for the problem at hand due to redundancies and unnecessary samples. In this case, the use of prototype selection can result in a higher classification accuracy. Prototype selection either means selecting a subset of the training set or selecting some prototypes which have been derived from the training set. The selection of prototypes entails answering questions, such as, how many prototypes to choose, whether to choose a subset of training patterns or not, which prototypes to choose, etc. These issues have been addressed in this book.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. This book deals with topics such as: pattern representation, nearest neighour based classifiers, neural networks, support vector machines, and decision.
