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. Ed(S): Singh, Sameer; Singh, Maneesha - Progress in Pattern Recognition - 9781846289446 - V9781846289446
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Progress in Pattern Recognition

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Description for Progress in Pattern Recognition hardcover. Discusses novel pattern classification and matching schemes and describes the application of novel tools in biometrics and digital multimedia. This book introduces achievements in theoretical pattern recognition, including statistical and Bayesian pattern recognition, structural pattern recognition, and neural networks. Editor(s): Singh, Sameer; Singh, Maneesha. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 256 pages, 50 black & white tables, biography. BIC Classification: UYQP. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 21. Weight in Grams: 603.
Overview andGoals Pattern recognition has evolved as a mature field of data analysis and its practice involves decision making using a wide variety of machine learning tools. Over the last three decades, substantial advances have been made in the areas of classification, prediction, optimisation and planning algorithms. Inparticular, the advances made in the areas of non-linear classification, statistical pattern recognition, multi-objective optimisation, string matching and uncertainty management are notable. These advances have been triggered by the availability of cheap computing power which allows large quantities of data to be processed in a very short period of time, and therefore developed ... Read more

Product Details

Format
Hardback
Publication date
2007
Publisher
Springer United Kingdom
Number of pages
256
Condition
New
Series
Advances in Computer Vision and Pattern Recognition
Number of Pages
243
Place of Publication
England, United Kingdom
ISBN
9781846289446
SKU
V9781846289446
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About . Ed(S): Singh, Sameer; Singh, Maneesha
Professor Sameer Singh is Director of the Research School of Informatics, Loughborough University, UK, and serves as Editor-in-Chief of the Springer journal, Pattern Analysis and Applications

Reviews for Progress in Pattern Recognition
From the reviews: “The book is divided into two parts. … Although in my opinion many articles could have presented more proper conclusions or deeper proofs and evidences, and some of them focused on the practicability of machine learning and pattern recognition from a theoretically point of view, the scientific relevance of the content of the book is good. ... Read more

Goodreads reviews for Progress in Pattern Recognition


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