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Mathematical Methodologies in Pattern Recognition and Machine Learning - (Springer Proceedings in Mathematics & Statistics) (Hardcover) - 1 of 1

Mathematical Methodologies in Pattern Recognition and Machine Learning - (Springer Proceedings in Mathematics & Statistics) (Hardcover)

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Highlights

  • Author(s): Pedro Latorre Carmona & J Salvador Sánchez & Ana L N Fred
  • 196 Pages
  • Mathematics, Applied
  • Series Name: Springer Proceedings in Mathematics & Statistics

Description



From the Back Cover



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.

Dimensions (Overall): 9.2 Inches (H) x 6.2 Inches (W) x .7 Inches (D)
Weight: .95 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 196
Genre: Mathematics
Sub-Genre: Applied
Series Title: Springer Proceedings in Mathematics & Statistics
Publisher: Springer
Format: Hardcover
Author: Pedro Latorre Carmona & J Salvador Sánchez & Ana L N Fred
Language: English
Street Date: November 10, 2012
TCIN: 1012546083
UPC: 9781461450757
Item Number (DPCI): 247-54-2219
Origin: Made in the USA or Imported
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Estimated ship dimensions: 0.7 inches length x 6.2 inches width x 9.2 inches height
Estimated ship weight: 0.95 pounds
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