| 當期課號 | 7793 | Course Number | 7793 |
|---|---|---|---|
| 授課教師 | 吳世弘 | Instructor | WU,SHIH HUNG |
| 中文課名 | 圖形識別 | Course Name | Pattern Recognition |
| 開課單位 | 資訊工程系碩士在職專班一A | Department | |
| 修習別 | 選修 | Required/Elective | Elective |
| 學分數 | 3 | Credits | 3 |
| 課程目標 | 本課程主要介紹圖形識別的知識，學生在本課程將可了解相關概念有：貝氏定理分類器，線性與非線性分類器，特徵挑選，特徵產生，脈絡相關分類，系統評估，分群演算法 | Objectives | The goal of this course is to provide the students with a basic knowledge of pattern recognition. The students will realize the following concepts in the course: 1.Classifiers based on Bayes decision theory 2.Linear/nonlinear classifiers 3.Feature selection 4.Feature generation 5.Context-dependent classification 6.System evaluation 7.Clustering algorithms |
| 教材 | Textbook: Christopher M. Bishop, "Pattern Recognition and Machine Learning", Springer, 2006. Reference: 1.Pattern Classification (2nd ed.) by Richard O. Duda, Peter E. Hart and David G. Stork Wiley Interscience 680 pages ISBN: 0-471-05669-3 歐亞書局 2. Pattern Recognition (2nd ed.) by Theodoridis and Koutroumbas. Academic Press 全華圖書 |
Teaching Materials | Textbook: Christopher M. Bishop, "Pattern Recognition and Machine Learning", Springer, 2006. Reference: 1.Pattern Classification (2nd ed.) by Richard O. Duda, Peter E. Hart and David G. Stork Wiley Interscience 680 pages ISBN: 0-471-05669-3 歐亞書局 2. Pattern Recognition (2nd ed.) by Theodoridis and Koutroumbas. Academic Press 全華圖書 |
| 成績評量方式 | 1.Presentation:50% 2.Project Report:30% 3.Q&A:20% |
Grading | 1.Presentation:50% 2.Project report:30% 3.Q&A:20% |
| 教師網頁 | http://www.csie.cyut.edu.tw/~shwu | ||
| 教學內容 | 1.Classifiers based on Bayes decision theory 2.Linear/nonlinear classifiers 3.Feature selection 4.Feature generation 5.Context-dependent classification 6.System evaluation 7.Clustering algorithms | Syllabus | 1.Classifiers based on Bayes decision theory 2.Linear/nonlinear classifiers 3.Feature selection 4.Feature generation 5.Context-dependent classification 6.System evaluation 7.Clustering algorithms |