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Essentials of Pattern Recognition: An Accessible Approach

Essentials of Pattern Recognition: An Accessible Approach

Essentials of Pattern Recognition: An Accessible Approach
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Essentials of Pattern Recognition: An Accessible Approach Hardback - 2020

by Wu, Jianxin

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Cambridge University Press, 2020-12-17. 1. hardcover. New. 6.75x1.00x9.75. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Essentials of Pattern Recognition: An Accessible Approach
  • Author Wu, Jianxin
  • Binding Hardback
  • Edition 1
  • Condition New
  • Pages 398
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2020-12-17
  • Features Bibliography, Index
  • Bookseller's Inventory # DADAX1108483461
  • ISBN 9781108483469 / 1108483461
  • Weight 2.1 lbs (0.95 kg)
  • Dimensions 9.79 x 7.04 x 0.94 in (24.87 x 17.88 x 2.39 cm)
  • Size 6.75x1.00x9.75
  • Category Computers - General Information
  • Library of Congress subjects Pattern recognition systems, Pattern Recognition, Automated
  • Dewey Decimal Code 006.4
  • Quantity available 6

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Reader reviews for Essentials of Pattern Recognition: An Accessible Approach

From the publisher

This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples. Concepts are reinforced with hands-on exercises to nurture the student's skill in problem solving. New concepts and algorithms are framed by real-world context and established as part of the big picture introduced in an early chapter. A problem-solving strategy is employed in several chapters to equip students with an approach for new problems in pattern recognition. This text also points out common errors that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a new pattern recognition task through various working examples. Students with an undergraduate understanding of mathematical analysis, linear algebra, and probability will be well prepared to master the concepts and mathematical analysis presented here.
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