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This edition has been completely revised, enlarged and formatted in two colour. It is a systematic account of the major topics in pattern recognition, based on the fundamental principles. It includes extensive examples and exercises, and is accompanied by a solutions manual.
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'PATTERN CLASSIFICATION' a unified view of statistical and neural approaches The product of years of research and practical experience in pattern classification, this book offers a theory-based engineering perspective on neural networks and statistical pattern classification.
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Takes a look at the application of random graphs to pattern recognition. This work presents examples of applications of the graphs studied, as well as the theoretical treatment of their properties; and a compilation of topics in discrete mathematics, pattern recognition, and mach ...
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Includes information on many of the important enterprise level concerns facing Java programmers.
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Addressing the most efficient methods of pattern analysis using wavelet decomposition, this reference offers a concise explanation of how to analyze data in order to emphasize the differences between closely-related patterns and then categorize them in a way that is useful to sys ...
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Optical Character Recognition (OCR) has become an important and widely used technology. Among its many practical applications are the scanners used at store check-out counters, money changing machines, office scanning machines, and the efforts to automate the postal system.
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Speech coding has evolved into a highly matured branch of signal processing, with deployment of a plethora of products such as cellular phones, answering machines, communication devices, and more. This book discusses about this topic.
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Gives practitioners and students with the fundamental principles and the computational methods of reading printed texts and handwritten materials. This book covers perspectives on the history, applications, and evolution of Optical Character Recognition (OCR). Each chapter contai ...
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Covers text mining and link detection algorithms, pre-processing techniques, knowledge representation, visualization and applications.
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