๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Pattern Recognition: An Algorithmic Approach

โœ Scribed by Prof. M. Narasimha Murty, Dr. V. Susheela Devi (auth.)


Publisher
Springer-Verlag London
Year
2011
Tongue
English
Leaves
276
Series
Undergraduate Topics in Computer Science 0
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Subjects


Computer Science, general


๐Ÿ“œ SIMILAR VOLUMES


Pattern Recognition: An Algorithmic Appr
โœ Prof. M. Narasimha Murty, Dr. V. Susheela Devi (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p><p>Observing the environment, and recognising patterns for the purpose of decision-making, is fundamental to human nature. The scientific discipline of pattern recognition (PR) is devoted to how machines use computing to discern patterns in the real world.</p><p>This must-read textbook provides a

Essentials of Pattern Recognition: An Ac
โœ Jianxin Wu ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› Cambridge University Press ๐ŸŒ English

<span>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.

Essentials of Pattern Recognition: An Ac
โœ Jianxin Wu ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› Cambridge University Press ๐ŸŒ English

<span>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.

An introduction to pattern recognition:
โœ Theodoridis S., et al. ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› AP ๐ŸŒ English

An accompanying manual to Theodoridis/Koutroumbas, Pattern Recognition, that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.