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Mathematical Methodologies in Pattern Recognition and Machine Learning

Mathematical Methodologies in Pattern Recognition and Machine Learning Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 - Springer Proceedings in Mathematics & Statistics

2013

Hardback (10 Nov 2012)

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Publisher's Synopsis

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.

Book information

ISBN: 9781461450757
Publisher: Springer New York
Imprint: Springer
Pub date:
Edition: 2013
Language: English
Number of pages: 196
Weight: 452g
Height: 165mm
Width: 243mm
Spine width: 18mm