95學年度第一學期 2006 Fall

Pattern Recognition

教師姓名：吳世弘

　

課號 課名 開課班級 上課時間地點

7386

圖形識別　

Pattern Recognition

資訊工程系碩士班1A 　

Mon 5-7　M-312

Text book:

Pattern Recognition (2nd ed.) by S. Theodoridis and K. Koutroumbas
Academic Press
全華圖書

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

投影片：

    Theodoridis: Official slides

    Duda: Ch1, Ch2_1, Ch2_2, Ch2_3, Ch3_1, Ch3_2, Ch3_3, Ch4_1, Ch4_2, Ch2.11 Bayesian Network, Ch5, SVM, Ch6, CH10

Schedule

Week Date Event 　 Presentation list Notes
1 9/18 　 Introduction X 　
2 9/25 　 Bayesian Rule X 　
3 10/2 　 Bayesian Decision, Normal Distribution X 　
4 10/9 Holiday 　 X 　
5 10/16 　 Maximum Likelihood 劉永成、謝旻樺、王峻國 　
6 10/23 　 Maximum Likelihood 楊斯堯、洪大弘、周仁亮 　
7 10/30 　 Hidden Markov Model 呂啟銓、黃雅紫、邱治華 　
8 11/6 　 Hidden Markov Model 吳百發、黃雅芬、吳志恩 　
9 11/13 midterm 　 X Open Book test
10 11/20 　 K-NN 　 　
11 11/27 　 Neural Network 　 　
12 12/4 　 Support Vector Machine 　 　
13 12/11 　 Template matching 　 　
14 12/15 　 Clustering 　 　
15 12/18 Term Project Demo 　 期末專題口頭報告(準備投影片DEMO) 　
16 12/25 Term Project Demo 　 期末專題口頭報告(準備投影片DEMO) 　
17 1/1 　 holiday 　 　
18 1/8 Final Ex. 　 期末專題繳交書面報告 　

Homework

#1. Term Project Report Proposal (10/16 due)

#1. Term Project Report Draft (12/18 due)

Brief Presentation

20 min presentation and 5 min Q & A.

Term Project Report Presentation

10 min presentation and 5 min Q & A.

Term Project Report

Cover page, Introduction, model, dataset, system, discussion. (1/8 due)

1. problem definition

2. Collect data

3. data -> feature vector   (X1, X2, ... , Xn) Class tag

4. train classifier

5. test

　

Last update: 2006/10/02

shwu@cyut.edu.tw