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Introduction To Pattern Recognition
Statistical, Structural, Neural and Fuzzy Logic Approaches
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This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only prerequisites for using this book are a one-semester course in discrete mathematics and a knowledge of the basic preliminaries of calculus, linear algebra and probability theory.Contents: Decision Functions; Classification by Distance Functions and Clustering; Classification Using Statistical Approach; Feature Selection; Fuzzy Classification and Pattern Recognition; Syntactic Pattern Recognition; Neural Nets and Pattern Classification.
Readership: Undergraduate and graduate students in computer science and related fields in science and technology.
World Scientific; January 1999
344 pages; ISBN 9789812384744
Read online, or download in secure PDF format
344 pages; ISBN 9789812384744
Read online, or download in secure PDF format
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981238474X
9789812384744
9789810233129