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Course Schedule
1st week
09/13 Course overview 09/15 Chapter 1 : Introduction
2nd week
09/20 Chapter 2 : Bayesian Decision Theory 09/22 Chapter 2 : Bayesian Decision Theory
3rd week
09/27 Chapter 2 : Bayesian Decision Theory 09/29 Chapter 2 : Bayesian Decision Theory
4th week
10/04 Chapter 2 : Bayesian Decision Theory 10/06 Chapter 2 : Bayesian Decision Theory
5th week
10/11 Chapter 2 : Bayesian Decision Theory 10/13 Chapter 2 : Bayesian Decision Theory
6th week
10/18 Chapter 2 : Bayesian Decision Theory 10/20 Chapter 2 : Bayesian Decision Theory
7th week
10/25 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation 10/27 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
8th week
11/01 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation 11/03 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
9th week
11/08 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation 11/10 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
10th week
11/15 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation 11/17 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
11th week
11/22 1st Oral Presentation 張豐麒:Scalable Recognition with a Vocabulary Tree 徐明宏:A Bayesian hierarchical model for learning natural scene categories 劉帆:Object class recognition by unsupervised scale-invariant learning 11/24 1st Oral Presentation 苗淵翔:Multiresolution gray-scale and rotation invariant texture classification with local binary patterns 楊文欽:Histograms of oriented gradients for human detection 黃俊璋:Evaluating Color Descriptors for Object and Scene Recognition
12th week
11/29 1st Oral Presentation 劉允中:Learning patterns of activity using real-time tracking 張奕康:Active appearance models 劉書承:Shape matching and object recognition using shape contexts 12/01 1st Oral Presentation 楊盛昌:Object Detection with Discriminatively Trained Part-Based Models 陳柏融:Efficient Graph-Based Image Segmentation 楊祐綱:Rapid object detection using a boosted cascade of simple features
13th week
12/06 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation 12/08 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
14th week
12/13 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation 12/15 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
15th week
12/20 論文選讀:Particle Filters 12/22 論文選讀:Particle Filters
16th week
12/27 論文選讀:Particle Filters 12/29 論文選讀:Particle Filters
17th week
01/03
2nd Oral Presentation
01/05 2nd Oral
Presentation
18th week
01/10
2nd Oral Presentation
01/12 2nd Oral
Presentation