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.
| ISBN: | 9781461450757 |
| Publication date: | 10th November 2012 |
| Author: | International Conference on Pattern Recognition Applications and Methods |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Hardback |
| Pagination: | 196 pages |
| Series: | Springer Proceedings in Mathematics & Statistics |
| Genres: |
Cybernetics and systems theory Pattern recognition Optimization Mathematical theory of computation |
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.
Mathematical Methodologies in Pattern Recognition and Machine Learning features in the following genres: Cybernetics and systems theory, Pattern recognition, Optimization, Mathematical theory of computation
Hardback. Not Available.
Mathematical Methodologies in Pattern Recognition and Machine Learning was written by International Conference on Pattern Recognition Applications and Methods and published by Springer an imprint of Springer New York
Mathematical Methodologies in Pattern Recognition and Machine Learning has 196 pages
Yes it is part of Springer Proceedings in Mathematics & Statistics series