
- 720 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Pattern Recognition and Image Preprocessing
About this book
Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection; novel computer system architectures; proven algorithms for solutions to common roadblocks in data processing; computing models including the Hamming net, the Kohonen self-organizing map, and the Hopfield net; detailed appendices with data sets illustrating key concepts in the text; and more.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Pattern Recognition and Image Preprocessing by Sing T. Bow in PDF and/or ePUB format, as well as other popular books in Tecnología e ingeniería & Ingeniería eléctrica y telecomunicaciones. We have over one million books available in our catalogue for you to explore.
Information
eBook ISBN
9781135561062Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Series Introduction
- Preface
- Table of Contents
- PART I. PATTERN RECOGNITION
- PART II. NEURAL NETWORKS FOR PATTERN RECOGNITION
- PART III. DATA PREPROCESSING FOR PICTORIAL PATTERN RECOGNITION
- PART IV. APPLICATIONS
- PART V. PRACTICAL CONCERNS OF IMAGE PROCESSING AND PATTERN RECOGNITION
- Appendix A: Digitized Images
- Appendix B: Image Model and Discrete Mathematics
- Appendix C: Digital Image Fundamentals
- Appendix D: Matrix Manipulation
- Appendix E: Eigenvectors and Eigenvalues of an Operator
- Appendix F: Notation
- Bibliography
- Index