Introduction to Statistical Pattern Recognition. ([2013?])

• Record Type: Book
• Further Information: Note: Keinosuke Fukunaga.
• Authors: Fukunaga, Keinosuke
• Contents: Preface; ; Acknowledgments; ; Chapter 1 Introduction; ; 1.1 Formulation of Pattern Recognition Problems; ; 1.2 Process of Classifier Design; ; Notation; ; References; ; Chapter 2 Random Vectors and Their Properties; ; 2.1 Random Vectors and Their Distributions; ; 2.2 Estimation of Parameters; ; 2.3 Linear Transformation; ; 2.4 Various Properties of Eigenvalues and Eigenvectors; ; Computer Projects; ; Problems; ; References; ; Chapter 3 Hypothesis Testing; ; 3.1 Hypothesis Tests for Two Classes; ; 3.2 Other Hypothesis Tests; ; 3.3 Error Probability in Hypothesis Testing; ; 3.4 Upper Bounds on the Bayes Error; ; 3.5 Sequential Hypothesis Testing; ; Computer Projects; ; Problems; ; References; ; Chapter 4 Parametric Classifiers; ; 4.1 The Bayes Linear Classifier; ; 4.2 Linear Classifier Design; ; 4.3 Quadratic Classifier Design; ; 4.4 Other Classifiers; ; Computer Projects; ; Problems; ; References; ; Chapter5 Parameter Estimation; ; 5.1 Effect of Sample Size in Estimation; ; 5.2 Estimation of Classification Errors; ; 5.3 Holdout, Leave-One-Out, and Resubstitution Methods; ; 5.4 Bootstrap Methods; ; Computer Projects; ; Problems; ; References; ; Chapter 6 Nonparametric Density Estimation; ; 6.1 Parzen Density Estimate; ; 6.2 kNearest Neighbor Density Estimate; ; 6.3 Expansion by Basis Functions; ; Computer Projects; ; Problems; ; References; ; Chapter 7 Nonparametric Classification and Error Estimation; ; 7.1 General Discussion; ; 7.2 Voting kNN Procedure - Asymptotic Analysis; ; 7.3 Voting kNN Procedure - Finite Sample Analysis; ; 7.4 Error Estimation; ; 7.5 Miscellaneous Topics in the kNN Approach; ; Computer Projects; ; Problems; ; References; ; Chapter 8 Successive Parameter Estimation; ; 8.1 Successive Adjustment of a Linear Classifier; ; 8.2 Stochastic Approximation; ; 8.3 Successive Bayes Estimation; ; Computer Projects; ; Problems; ; References; ; Chapter 9 Feature Extraction and Linear Mapping for Signal Representation; ; 9.1 The Discrete Karhunen-Loéve Expansion; ; 9.2 The Karhunen-Loéve Expansion for Random Processes; ; 9.3 Estimation of Eigenvalues and Eigenvectors; ; Computer Projects; ; Problems; ; References; ; Chapter 10 Feature Extraction and Linear Mapping for Classification; ; 10.1 General Problem Formulation; ; 10.2 Discriminant Analysis; ; 10.3 Generalized Criteria; ; 10.4 Nonparametric Discriminant Analysis; ; 10.5 Sequential Selection of Quadratic Features; ; 10.6 Feature Subset Selection; ; Computer Projects; ; Problems; ; References; ; Chapter 11 Clustering; ; 11.1 Parametric Clustering; ; 11.2 Nonparametric Clustering; ; 11.3 Selection of Representatives; ; Computer Projects; ; Problems; ; References; ; Appendix A Derivatives of Matrices; ; Appendix B Mathematical Formulas; ; Appendix C Normal Error Table; ; Appendix D Gamma Function Table; ; Index;
• Edition: Second edition
• Publisher Details: San Diego : Academic press
• Publication Date: 2013
• Copyright Date: 1990
• Extent: 1 online resource, illustrations
• Subjects: 006.4; Pattern perception -- Statistical methods; Decision making -- Mathematical models; Mathematical statistics
• Languages: English
• ISBNs: 9780080478654; 0080478654
• Related ISBNs: 0122698517
• Notes: Note: Includes bibliographical references and index.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.