Essentials of pattern recognition : an accessible approach
Jianxin Wu
Bok · Engelsk · 2021
| Originaltittel | [ Essentials of pattern recognition .] Engelsk
|
|---|---|
| Omfang | XV, 384 sider : illustrasjoner
|
| Opplysninger | Preface Notation Part I. Introduction and Overview: 1. Introduction 2. Mathematical background 3. Overview of a pattern recognition system 4. Evaluation Part II. Domain-Independent Feature Extraction: 5. Principal component analysis 6. Fisher's linear discriminant Part III. Classifiers and Tools: 7. Support vector machines 8. Probabilistic methods 9. Distance metrics and data transformations 10. Information theory and decision trees Part IV. Handling Diverse Data Formats: 11. Sparse and misaligned data 12. Hidden Markov model Part V. Advanced Topics: 13. The normal distribution 14. The basic idea behind expectation-maximization 15. Convolutional neural networks References Index.. - "This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples. Concepts are reinforced with hands-on exercises to nurture the student's skill in problem solving. New concepts and algorithms are framed by real-world context and established as part of the big picture introduced in an early chapter. A problem-solving strategy is employed in several chapters to equip students with an approach for new problems in pattern recognition. This text also points out common errors that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a new pattern recognition task through various working examples. Students with an undergraduate understanding of mathematical analysis, linear algebra, and probability will be well prepared to master the concepts and mathematical analysis presented here."
|
| Emner | |
| Dewey | |
| ISBN | 9781108483469
|