Combining pattern classifiers : methods and algorithms /

• Κύριος συγγραφέας: Kuncheva, Ludmila I. (Ludmila Ilieva), 1959-
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken, NJ : Wiley, 2014.
• Έκδοση: Second edition.
• Θέματα: Pattern recognition systems.; Image processing > Digital techniques.; TECHNOLOGY & ENGINEERING > Imaging Systems.; COMPUTERS > Computer Vision & Pattern Recognition.; COMPUTERS > Database Management > Data Mining.; COMPUTERS / Computer Vision & Pattern Recognition.; Electronic books.

 "Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers. In a didactic, detailed assessment, Combining Pattern Classifiers examines the basic theories and tactics of classifier combination while presenting the most recent research in the field. Among the pattern recognition tasks that this book explores are mail sorting, face recognition, signature verification, decoding brain fMRI images, identifying emotions, analyzing gene microarray data, and spotting patterns in consumer preference. This updated second edition is equipped with the latest knowledge for academics, students, and practitioners involved in pattern recognition fields"--   Provided by publisher. 

 ""Titlepage -- Copyright -- Dedication -- Preface -- The Playing Field -- Software -- Structure and What is New in the Second Edition -- Who is This Book For? -- Notes -- Acknowledgements -- 1 Fundamentals of Pattern Recognition -- 1.1 Basic Concepts: Class, Feature, Data Set -- 1.2 Classifier, Discriminant Functions, Classification Regions -- 1.3 Classification Error and Classification Accuracy -- 1.4 Experimental Comparison of Classifiers -- 1.5 Bayes Decision Theory -- 1.6 Clustering and Feature Selection -- 1.7 Challenges of Real-Life Data -- Appendix""