| 當期課號 |
7269 |
Course Number |
7269 |
| 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 |
Pattern Classification (2nd ed.)
by Richard O. Duda, Peter E. Hart and David G. Stork
Publisher: Wiley Interscience
ISBN: 0-471-05669-3
歐亞書局 |
Teaching Materials |
|
| 成績評量方式 |
1.Homework: 20% 2.Quiz: 20% 3.Midterm: 30% 4.Final Project 30% |
Grading |
1.Homework: 20% 2.Quiz: 20% 3.Midterm: 30% 4.Final Project 30% |
| 教師網頁 |
|
| 教學內容 |
Bayesian decision theory
Parametric estimation and supervised learning
Linear discriminant functions
Nonparametric methods
Feature extraction for representation
Feature extraction for classification
Unsupervised learning and clustering |
Syllabus |
Bayesian decision theory
Parametric estimation and supervised learning
Linear discriminant functions
Nonparametric methods
Feature extraction for representation
Feature extraction for classification
Unsupervised learning and clustering |