Ebook: Pattern Recognition: Concepts, Methods and Applications

The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas (e.g. engineering, medicine, economy, geology). It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques. These are explained in a unified and innovative way, with multiple examples enhancing the clarification of concepts and the application of methods. Recent results in the main Pattern Recognition areas (Statistical Classification, Neural Networks and Structural Recognition) are presented. A CD offered with the book includes datasets and software tools, making it easier for the reader to follow the taught matters in a hands-on fashion right from the start.

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The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas (e.g. engineering, medicine, economy, geology). It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques. These are explained in a unified and innovative way, with multiple examples enhancing the clarification of concepts and the application of methods. Recent results in the main Pattern Recognition areas (Statistical Classification, Neural Networks and Structural Recognition) are presented. A CD offered with the book includes datasets and software tools, making it easier for the reader to follow the taught matters in a hands-on fashion right from the start.

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The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas (e.g. engineering, medicine, economy, geology). It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques. These are explained in a unified and innovative way, with multiple examples enhancing the clarification of concepts and the application of methods. Recent results in the main Pattern Recognition areas (Statistical Classification, Neural Networks and Structural Recognition) are presented. A CD offered with the book includes datasets and software tools, making it easier for the reader to follow the taught matters in a hands-on fashion right from the start.
Content:
Front Matter....Pages i-xix
Basic Notions....Pages 1-20
Pattern Discrimination....Pages 21-51
Data Clustering....Pages 53-78
Statistical Classification....Pages 79-145
Neural Networks....Pages 147-242
Structural Pattern Recognition....Pages 243-289
Back Matter....Pages 291-318

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The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas (e.g. engineering, medicine, economy, geology). It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques. These are explained in a unified and innovative way, with multiple examples enhancing the clarification of concepts and the application of methods. Recent results in the main Pattern Recognition areas (Statistical Classification, Neural Networks and Structural Recognition) are presented. A CD offered with the book includes datasets and software tools, making it easier for the reader to follow the taught matters in a hands-on fashion right from the start.
Content:
Front Matter....Pages i-xix
Basic Notions....Pages 1-20
Pattern Discrimination....Pages 21-51
Data Clustering....Pages 53-78
Statistical Classification....Pages 79-145
Neural Networks....Pages 147-242
Structural Pattern Recognition....Pages 243-289
Back Matter....Pages 291-318
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