Sách Pattern Recognition An Algorithmic Approach

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Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach

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Sách Pattern Recognition An Algorithmic Approach

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Danh mục: Sách ngoại ngữ, Sách IT, Sách chuyên ngành, Sách Tiếng Anh quyển Lẻ
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Mô tả

Sách Pattern Recognition An Algorithmic Approach

Sách Pattern Recognition An Algorithmic Approach (Sách keo gáy, bìa mềm)

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.

This

must-read textbook provides an exposition of principal topics in PR

using an algorithmic approach. Presenting a thorough introduction to the

concepts of PR and a systematic account of the major topics, the text

also reviews the vast progress made in the field in recent years. The

algorithmic approach makes the material more accessible to computer

science and engineering students.

Topics and features:

Makes

thorough use of examples and illustrations throughout the text, and

includes end-of-chapter exercises and suggestions for further reading

Describes a range of classification methods, including nearest-neighbour classifiers, Bayes classifiers, and decision trees

Includes chapter-by-chapter learning objectives and summaries, as well as extensive referencing

Presents

standard tools for machine learning and data mining, covering neural

networks and support vector machines that use discriminant functions

Explains important aspects of PR in detail, such as clustering

Discusses hidden Markov models for speech and speaker recognition tasks, clarifying core concepts through simple examples

This

concise and practical text/reference will perfectly meet the needs of

senior undergraduate and postgraduate students of computer science and

related disciplines. Additionally, the book will be useful to all

researchers who need to apply PR techniques to solve their problems.

Dr. M. Narasimha Murty is a Professor in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore. Dr. V. Susheela Devi is a Senior Scientific Officer at the same institution.

Categories:Computers - Computer Science

Year:2011

Edition:1

Language:english

Pages:263

https://zalo.me/0969436832

0969436832