Mathematical Methodologies in Pattern Recognition and Machine Learning
Language: English
Published by Springer, 2012
Series: Book 28 of 464 - Springer Proceedings in Mathematics & Statistics
- Hardcover
- New

Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Print on Demand pp. 204 58 Illus. (40 Col.).
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- Title
- Mathematical Methodologies in Pattern Recognition and Machine Learning
- Publisher
- Springer
- Publication year
- 2012
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1461450756
- ISBN 13
- 9781461450757
- Series
- Book 28 of 464: Springer Proceedings in Mathematics & Statistics
This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field.
This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field.
This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists.
"About the title" may belong to another edition of this title.
Majestic Books
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