Mathematical Methodologies in Pattern Recognition and Machine Learning

Pedro Latorre Carmona

ISBN 10: 1461450756 / ISBN 13: 9781461450757

Published by Springer New York Nov 2012, 2012

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 204 pp. Englisch.

Seller Inventory # 9781461450757

Bibliographic Details

• Title: Mathematical Methodologies in Pattern Recognition and Machine Learning
• Publisher: Springer New York Nov 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 1461450756
• ISBN 13: 9781461450757
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 15D millimeters 241 millimeters width by 160 millimeters height by 15 millimeters depth
• Weight: 477 grams

About this title

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.