Book description
This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Study Guide
- Chapter 1: Recognition and Learning by a Computer
-
Chapter 2: Representing Information
- 2.1 Pattern Function and Bit Pattern
- 2.2 The Representation of Spatial Structure
- 2.3 Graph Representation
- 2.4 Tree Representation
- 2.5 List Representation
- 2.6 Predicate Logic Representation
- 2.7 Horn Clause Logic Representation
- 2.8 Declarative Representation
- 2.9 Procedural Representation
- 2.10 Representation Using Rules
- 2.11 Semantic Networks and Frames
- 2.12 Representation Using Fourier Series
- 2.13 Classification of Representation Methods
- Summary
- Exercises
-
Chapter 3: Generation and Transformation of Representations
- 3.1 Methods of Generating and Transforming Representations
- 3.2 Linear Transformations of Pattern Functions
- 3.3 Sampling and Quantization of Pattern Functions
- 3.4 Transformation to Spatial Representations
- 3.5 Generation of Tree Representation
- 3.6 Search and Problem Solving
- 3.7 Logical Inference
- 3.8 Production Systems
- 3.9 Inference Using Frames
- 3.10 Constraint Representation and Relaxation
- 3.11 Summary
- Exercises
- Chapter 4: Pattern Feature Extraction
- Chapter 5: Pattern Understanding Methods
- Chapter 6: Learning Concepts
- Chapter 7: Learning Procedures
- Chapter 8: Learning Based on Logic
- Chapter 9: Learning by Classification and Discovery
- Chapter 10: Learning by Neural Networks
- Appendix: Examples of Learning by Neural Networks
- Answers
- Bibliography
- Index
Product information
- Title: Pattern Recognition and Machine Learning
- Author(s):
- Release date: December 2012
- Publisher(s): Morgan Kaufmann
- ISBN: 9780080513638
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