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Mathematical Methodologies in Pattern Recognition and Machine Learning : Cont...

Description: Mathematical Methodologies in Pattern Recognition and Machine Learning : Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012, Hardcover by Carmona, Pedro Latorre (EDT); Sanchez, J. Salvador (EDT); Fred, Ana L. N. (EDT), ISBN 1461450756, ISBN-13 9781461450757, Like New Used, Free shipping in the US

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 andfor differential geometers and mathematical physicists.

Price: 127.58 USD

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Mathematical Methodologies in Pattern Recognition and Machine Learning : Cont...

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Book Title: Mathematical Methodologies in Pattern Recognition and Machine Lea

Number of Pages: VIII, 196 Pages

Language: English

Publication Name: Mathematical Methodologies in Pattern Recognition and Machine Learning : Contributions from the International Conference on Pattern Recognition Applications and Methods 2012

Publisher: Springer New York

Subject: System Theory, Applied, Optimization, Computer Vision & Pattern Recognition

Publication Year: 2012

Item Weight: 152.4 Oz

Type: Textbook

Author: J. Salvador Sánchez

Item Length: 9.3 in

Subject Area: Mathematics, Computers, Science

Item Width: 6.1 in

Series: Springer Proceedings in Mathematics and Statistics Ser.

Format: Hardcover

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