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Statistical pattern recognition

โœ Scribed by Andrew R. Webb


Publisher
Wiley
Year
2002
Tongue
English
Leaves
504
Edition
2nd ed
Category
Library

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โœฆ Synopsis


Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition - require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundamental to the study of pattern recognition.Statistical Pattern Recognition, Second Edition has been fully updated with new methods, applications and references. It provides a comprehensive introduction to this vibrant area - with material drawn from engineering, statistics, computer science and the social sciences - and covers many application areas, such as database design, artificial neural networks, and decision support systems.


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Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.ย  It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining,

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