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Knjiga Mathematical Methodologies in Pattern Recognition and Machine Learning Ana L. N. Fred

Mathematical Methodologies in Pattern Recognition and Machine Learning

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

Pedro Latorre Carmona

J. Salvador Sánchez

Jezik

Engleski

Knjiga Meki uvez

Knjiga Mathematical Methodologies in Pattern Recognition and Machine Learning Ana L. N. Fred

Libristo kod: 09136053

Nakladnici Springer-Verlag New York Inc., rujan 2012

This volume features key contributions from the International Conference on Pattern Recognition Appl... Cijeli opis

Libristo kod: 09136053

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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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Informacije o knjizi

Puni naziv Mathematical Methodologies in Pattern Recognition and Machine Learning

Autor Ana L. N. Fred, Pedro Latorre Carmona, J. Salvador Sánchez

Jezik

Engleski

Uvez Knjiga - Meki uvez

Datum izdanja 2012

Broj stranica 196

EAN 9781493900923

ISBN 1493900927

Libristo kod 09136053

Nakladnici Springer-Verlag New York Inc.

Težina 3168

Dimenzije 155 x 11 x 12

Kategorija

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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