Items related to Pattern Recognition: An Algorithmic Approach (Undergraduate...
Synopsis
Observing 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 (PR), which has application in diverse technology areas. This book is an exposition of principal topics in PR using an algorithmic approach. It provides a thorough introduction to the concepts of PR and a systematic account of the major topics in PR besides reviewing the vast progress made in the field in recent times. It includes basic techniques of PR, 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. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science and allied disciplines.
"synopsis" may belong to another edition of this title.
From the Back Cover
Observing the environment, and recognising patterns for the purpose of decision-making, is fundamental to human nature. The scientific discipline of pattern recognition (PR) is devoted to how machines use computing to discern patterns in the real world.
This must-read textbook provides an exposition of principal topics in PR using an algorithmic approach. Presenting a thorough introduction to the concepts of PR and a systematic account of the major topics, the text also reviews the vast progress made in the field in recent years. The algorithmic approach makes the material more accessible to computer science and engineering students.
Topics and features:
- Makes thorough use of examples and illustrations throughout the text, and includes end-of-chapter exercises and suggestions for further reading
- Describes a range of classification methods, including nearest-neighbour classifiers, Bayes classifiers, and decision trees
- Includes chapter-by-chapter learning objectives and summaries, as well as extensive referencing
- Presents standard tools for machine learning and data mining, covering neural networks and support vector machines that use discriminant functions
- Explains important aspects of PR in detail, such as clustering
- Discusses hidden Markov models for speech and speaker recognition tasks, clarifying core concepts through simple examples
This concise and practical text/reference will perfectly meet the needs of senior undergraduate and postgraduate students of computer science and related disciplines. Additionally, the book will be useful to all researchers who need to apply PR techniques to solve their problems.
Dr. M. Narasimha Murty is a Professor in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore. Dr. V. Susheela Devi is a Senior Scientific Officer at the same institution.
About the Author
Dr. M. Narasimha Murty is a professor in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore. Dr. V. Susheela Devi is a senior scientific officer in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2011
- ISBN 10 0857294946
- ISBN 13 9780857294944
- BindingPaperback
- LanguageEnglish
- Number of pages274
Search results for Pattern Recognition: An Algorithmic Approach (Undergraduate...
Seller Image
Pattern Recognition : An Algorithmic Approach
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 12536199-n
Quantity: 3 available
Stock Image
Pattern Recognition: An Algorithmic Approach (Undergraduate Topics in Computer Science)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2317530013179
Quantity: 1 available
Stock Image
Pattern Recognition (Paperback)
Published by
Springer London Ltd, England, 2011
ISBN 10: 0857294946
ISBN 13: 9780857294944
New
Paperback
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Observing 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 (PR), which has application in diverse technology areas. This book is an exposition of principal topics in PR using an algorithmic approach. It provides a thorough introduction to the concepts of PR and a systematic account of the major topics in PR besides reviewing the vast progress made in the field in recent times. It includes basic techniques of PR, 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. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science and allied disciplines. It provides a thorough introduction to the concepts of PR and a systematic account of the major topics in PR besides reviewing the vast progress made in the field in recent times. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780857294944
Quantity: 1 available
Stock Image
Pattern Recognition
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. xii + 263 1st Edition. Seller Inventory # 263500878
Quantity: 4 available
Seller Image
Pattern Recognition
Published by
SPRINGER NATURE Jul 2011, 2011
ISBN 10: 0857294946
ISBN 13: 9780857294944
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Observing 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. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science engineering and allied disciplines. 263 pp. Englisch. Seller Inventory # 9780857294944
Quantity: 2 available
Stock Image
Pattern Recognition
Print on DemandSeller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Print on Demand pp. xii + 263. Seller Inventory # 4379793
Quantity: 4 available
Stock Image
Pattern Recognition
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND pp. xii + 263. Seller Inventory # 183500868
Quantity: 4 available
Seller Image
Pattern Recognition : An Algorithmic Approach
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Observing 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. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science engineering and allied disciplines. Seller Inventory # 9780857294944
Quantity: 2 available
Stock Image
Pattern Recognition: An Algorithmic Approach
Published by
Springer-Verlag New York Inc, 2011
ISBN 10: 0857294946
ISBN 13: 9780857294944
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 275 pages. 9.25x6.75x0.75 inches. In Stock. Seller Inventory # x-0857294946
Quantity: 2 available
Seller Image
Pattern Recognition
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
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. Seller Inventory # 128957428
Quantity: Over 20 available