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Books Books 1 - 10 of about 45 related to Introduction to Statistical Pattern Recognition.   

Instruction to Statistical Pattern Recognition

Keinosuke Fukunaga - Technology & Engineering - 1972 - 386 pages
Introduction to Statistical Pattern Recognition introduces the reader to statistical pattern recognition, with emphasis on statistical decision and estimation. Pattern ...
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Statistical Pattern Recognition

Andrew R. Webb, Keith D. Copsey - Mathematics - 2011 - 616 pages
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is ...
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Pattern Recognition

Sergios Theodoridis, Konstantinos Koutroumbas - Computers - 2008 - 984 pages
This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for ...
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Introduction to Statistical Machine Learning

Masashi Sugiyama - Computers - 2015 - 534 pages
Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they ...
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Image Processing and Pattern Recognition

Cornelius T. Leondes - Computers - 1998 - 386 pages
Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper currency ...
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Detection Estimation and Modulation Theory, Part I: Detection, Estimation ...

Harry L. Van Trees, Kristine L. Bell - Technology & Engineering - 2013 - 1176 pages
Originally published in 1968, Harry Van Trees’s Detection, Estimation, and Modulation Theory, Part I is one of the great time-tested classics in the field of signal processing ...
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Statistical and Neural Classifiers: An Integrated Approach to Design

Sarunas Raudys - Computers - 2012 - 295 pages
The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data analysis. Neural ...
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An Introduction to Probability and Stochastic Processes

James L. Melsa, Andrew P. Sage - Mathematics - 2013 - 416 pages
Detailed coverage of probability theory, random variables and their functions, stochastic processes, linear system response to stochastic processes, Gaussian and Markov ...
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