圖形識別
Pattern Recognition
| 節 | 週二 | 週五 |
|---|---|---|
3 10:10–11:00 | 圖形識別 ED302 2 節連堂 | |
4 11:10–12:00 | ||
7 15:30–16:20 | 圖形識別 ED302 |
* 根據陽明交大上課時間表所列
介紹圖形識別之理論,及應用。本課程強調理論與實作並重。包含構造圖形識別、統計圖形識別、支持向量分辨器、與深度學習。 (**旁聽者會引影響上課,請能先徵得任課教授之同意。)
Probability, Linear Algebra. (Can use Matlab, C, ..., languages in programming.) Better use Matlab.
助教: 張瀚文 TA office hours: 星期二下午4:30~5:00; 星期三 下午5:30~6:30. 或用e-mail 另約時間。 Tel: 分機 56654 E-mail: p421122@gmail.com (張瀚文) Office: EC130b
1. 兩次考試: 60~70%. 2. Projects: 30~40%. 3. 加分的projects: 5~10%. *** 最後會調分
- Random vectors and their properties
- Statistical pattern recognition: supervised (包含Neural network methods in pattern recognition)
- Statistical pattern recognition: unsupervised
- Syntactic pattern recognition
| 週次 | 主題 |
|---|---|
| 第 1 週 | Syntactic pattern recognition Fu, 1982. |
| 第 2 週 | Syntactic pattern recognition Fu. |
| 第 3 週 | Syntactic pattern recognition Fu. |
| 第 4 週 | Syntactic pattern recognition Fu. |
| 第 5 週 | Introduction Huang 2016, Ch. 1. Theodoridis, Ch. 1. Fukunaga, Ch. 1. Random vectors Fukunaga, Ch. 2. |
| 第 6 週 | Random vectors Fukunaga, Ch. 2. |
| 第 7 週 | Statistical pattern recognition Fukunaga, Ch. 3. Huang, Ch. 2. |
| 第 8 週 | Statistical pattern recognition Fukunaga, Ch. 3. Huang, Ch. 2. |
| 第 9 週 | Mid-term exam |
| 第 10 週 | Perceptron Huang, Ch. 3. |
| 第 11 週 | Multilayer perceptron Huang, Ch. 4. |
| 第 12 週 | Support Vector Machine (SVM) Huang, Ch. 6. |
| 第 13 週 | Statistical pattern recognition: Clustering algorithms I, II (unsupervised) Theodoridis, Ch. 12, 13. 14,15 Huang, Ch. 2. |
| 第 14 週 | Statistical pattern recognition: Clustering algorithms I, II (unsupervised) Theodoridis, Ch. 12, 13. 14,15 Huang, Ch. 2. |
| 第 15 週 | Deep learning and Convolutional Neural Network |
| 第 16 週 | Deep learning and Convolutional Neural Network |
| 第 17 週 | Deep learning and Convolutional Neural Network |
| 第 18 週 | Final exam |
1. K. S. Fu, Syntactic Pattern Recognition and Applications, Prentice-Hall, 1982. 2. K. Fukunaga, Introduction to Statistical Pattern Recognition, Academic Press, 1990, Ch. 2-4.2. 3. 黃國源Kou-Yuan Huang, 類神經網路 (Neural Networks), 全華 Publishing Co., Taipei, Taiwan, Sept. 2017, 632 pages, Ch.1-4, 6, 13. 4. S. Theodoridis and K. Koutroumbas, Pattern Recognition, 4ed., Academic Press, 2009. 參考書: 1. Kou-Yuan Huang, “Syntactic pattern recognition,” invited paper in C. H. Chen, L. F. Pau, and P. S. P. Wang, eds., Handbook of Pattern Recognition & Computer Vision, World Scientific Publishing, 2nd edition, 1999, pp.61-103. 2. Kou-Yuan Huang, Syntactic Pattern Recognition for Seismic Oil Exploration, World Scientific Publishing Co., Singapore, in Series in Machine Perceptron and Artificial Intelligence, Vol. 46, 2002, 133 pages. 3. 張智星, MATLAB 程式設計入門篇, 鈦思科技, 2011.
- 地點
- Office: EC337
- 時間
- 星期二,4:30PM-5:20PM。 或用e-mail 另約時間。
- 聯絡方式
- kyhuang@cs.nctu.edu.tw (分機56620)