圖形識別
Pattern Recognition
| 節 | 週五 |
|---|---|
2 09:00–09:50 | 圖形識別 EE105 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
Machine intelligence will be a dominant technology in the 21 century. Pattern Recognition techniques are an important component of intelligent systems and are used for both data preprocessing and decision making. Generally speaking, pattern recognition is the science that concerns the description or classification of measurement. Since no single technology is always the optimum solution for a given pattern recognition problem, the statistical pattern recognition and neural pattern recognition are explored in this course.
微積分
投影機播放教材,配合口頭說明。
作業部份: 一個期末 Project : 30 % 考試部份: 期中考 : 35 % 期末考 : 35 %
- Introduction
- Decision - Theoretic Algorithms
- Statistical Classification
- Feature Selection
- Fuzzy Classification
- Neural Network Approach
- Neural Network and Classification
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction |
| 第 2 週 | Decision - Theoretic Algorithms (1) |
| 第 3 週 | Decision - Theoretic Algorithms (2) |
| 第 4 週 | Decision - Theoretic Algorithms (3) |
| 第 5 週 | Statistical Classification (1) |
| 第 6 週 | Statistical Classification (2) |
| 第 7 週 | Statistical Classification (3) |
| 第 8 週 | Statistical Classification (4) |
| 第 9 週 | Feature Selection (1) |
| 第 10 週 | Feature Selection (2) |
| 第 11 週 | Feature Selection (3) |
| 第 12 週 | Fuzzy Classification (1) |
| 第 13 週 | Fuzzy Classification (2) |
| 第 14 週 | Fuzzy Approach |
| 第 15 週 | Neural Network Approach (1) |
| 第 16 週 | Neural Network Approach (2) |
| 第 17 週 | Neural Network and Classification (1) |
| 第 18 週 | Neural Network and Classification (2) |
以下所列書籍為參考書籍並非教科書 (1) M. Frieddman and A. Kandel, Introduction to Pattern Recognition, World Scientific, 1999. (2) 林昇甫, 洪成安, 神經網路入門與圖樣辨識, 修訂二版, 全華圖書, 2002.
- 地點
- EE770
- 時間
- 開學後再做宣布
- 聯絡方式
- e-mail or 分機 54365