Author
Jianxin Wu, Nanjing University, China
Jianxin Wu is a professor in the Department of Computer Science and Technology and the School of Artificial Intelligence at Nanjing University, China. He received his B.S. and M.S. degrees in computer science from Nanjing University and his Ph.D. degree in computer science from the Georgia Institute of Technology. Professor Wu has served as an area chair for the conference on Computer Vision and Pattern Recognition (CVPR), the International Conference on Computer Vision (ICCV), and the AAAI Conference on Artificial Intelligence, and he is an associate editor for the Pattern Recognition journal. His research interests are computer vision and machine learning.
Table of Contents
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.