Pattern Recognition, Fall 2011

Similar courses in other universities

• National Tsing Hua University : CS5540 Pattern Recognition

• National Tsing Hua University : Data Clustering and Pattern Recognition

• National Chiao Tung University : Pattern Recognition

• University of Taxas-Austin : Object Recognition (Spring 2007)

• UCLA : Pattern Recognition and Machine Learning

Related Links

• 由田機器視覺獎

• The King-Sun Fu Prize

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   2^nd Oral Presentation
        01/05   2^nd Oral Presentation

18th week

        01/10   2^nd Oral Presentation
        01/12   2^nd Oral Presentation