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Mathematical Methodologies in Pattern Recognition and Machine Learning

Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012

Language EnglishEnglish
Book Paperback
Book Mathematical Methodologies in Pattern Recognition and Machine Learning Ana L. N. Fred
Libristo code: 09136053
Publishers Springer-Verlag New York Inc., September 2012
This volume features key contributions from the International Conference on Pattern Recognition Appl... Full description
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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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About the book

Full name Mathematical Methodologies in Pattern Recognition and Machine Learning
Author Ana L. N. Fred, Pedro Latorre Carmona, J. Salvador Sánchez
Language English
Binding Book - Paperback
Date of issue 2012
Number of pages 196
EAN 9781493900923
ISBN 1493900927
Libristo code 09136053
Publishers Springer-Verlag New York Inc.
Weight 3168
Dimensions 155 x 11 x 12

Categories

Reference, Information & Interdisciplinary subjects > Research & information: general > Information theory > Cybernetics & systems theory
Computing & Information Technology > Computer science > Mathematical theory of computation > Maths for computer scientists
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Mathematics & Science > Mathematics > Optimization
Computing & Information Technology > Business applications > Mathematical & statistical software
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