Mathematical Methodologies in Pattern Recognition and Machine Learning

Mathematical Methodologies in Pattern Recognition and Machine Learning
Author :
Publisher : Springer Science & Business Media
Total Pages : 200
Release :
ISBN-10 : 9781461450764
ISBN-13 : 1461450764
Rating : 4/5 (764 Downloads)

Book Synopsis Mathematical Methodologies in Pattern Recognition and Machine Learning by : Pedro Latorre Carmona

Download or read book Mathematical Methodologies in Pattern Recognition and Machine Learning written by Pedro Latorre Carmona and published by Springer Science & Business Media. This book was released on 2012-11-09 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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