Pattern Recognition, Fall 2010

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

• 2007 IPPR 技術競賽

• 由田機器視覺獎

• The King-Sun Fu Prize

Project

• Vessel detection in retinal images

• The STARE Project

• DRIVEL Digital Retinal Images for Vessel Extraction

Course Schedule

1st week

        09/14   Course overview
        09/16   Chapter 1 : Introduction

2nd week

        09/21   Chapter 2 : Bayesian Decision Theory
        09/23   Chapter 2 : Bayesian Decision Theory

3rd week

        09/28   Chapter 2 : Bayesian Decision Theory
        09/30   Chapter 2 : Bayesian Decision Theory

4th week

        10/05   Chapter 2 : Bayesian Decision Theory
        10/07   Chapter 2 : Bayesian Decision Theory

5th week

        10/12   Chapter 2 : Bayesian Decision Theory
        10/14   Chapter 2 : Bayesian Decision Theory

6th week

        10/19   Chapter 2 : Bayesian Decision Theory
        10/21   Chapter 2 : Bayesian Decision Theory

7th week

        10/26   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
        10/28   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

8th week

        11/02   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
        11/04   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

9th week

        11/09   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
        11/11   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

10th week

        11/16   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
        11/18   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

11th week

        11/23   1st Oral Presentation
            杜碩釗：Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
            陳敏毓：Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
            許哲偉：An Extended Set of Haar-like Features for Rapid Object Detection
        11/25   1st Oral Presentation
                    張益銘：Face Recognition by Independent Component Analysis
            陳志豪：Distinctive Image Features from Scale-Invariant Keypoints
            李承融：SURF: Speeded Up Robust Features 

12th week

        11/30   1st Oral Presentation
                    施沛宏：Face Detection in Color Images
            王星翰：Face Recognition Using Laplacianfaces
            吳嘉文：Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
        12/02   1st Oral Presentation
                    林琮哲：Frequent Subgraph Discovery
            張懿聖：Support Vector Machine Active Learning for Image Retrieval
            陳信融：Stereo Matching Using Belief Propagation 

13th week

        12/07   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
        12/09   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

14th week

        12/14   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
        12/16   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

15th week

        12/21   論文選讀：Particle Filters
        12/23   論文選讀：Particle Filters

16th week

        12/28   論文選讀：Particle Filters
        12/30   論文選讀：Particle Filters

17th week

        01/04   2^nd Oral Presentation
        01/06   2^nd Oral Presentation

18th week

        01/11   2^nd Oral Presentation
        01/13   2^nd Oral Presentation