Week 1: 03/04 About This Course

Week 2: 03/11 Introduction

Lecture Note : Introduction (GSlide, PDF)

Homework : EX2. Matlab (I)

Readings :

Week 3: 03/18 Background of Classification (I)

Lecture Note : Background of Classification (GSlide, PDF)

Homework : EX3. MATLAB (II)

Readings :

  • "Chapter 1 Pattern Classification", Celebi Tutorial: Neural Networks and Pattern Recognition Using MATLAB.
  • "Chapter 2 Decision Functions", Introduction to pattern recognition : statistical, structural, neural, and fuzzy logic approaches, M. Friedman and A. Kandel, World Scientific, 1999. [FJU Lib紙本書] [PDF 限輔大IP下載]

Week 4: 03/25 Background of Classification (II)

Lecture Note : Background of Classification (GSlide, PDF)

Homework : P1. Gaussian Distribution

Readings :

  • "Chapter 1 Pattern Classification", Celebi Tutorial: Neural Networks and Pattern Recognition Using MATLAB.
  • "Chapter 2 Decision Functions", Introduction to pattern recognition : statistical, structural, neural, and fuzzy logic approaches, M. Friedman and A. Kandel, World Scientific, 1999. [FJU Lib紙本書] [PDF 限輔大IP下載]

Week 5: 04/01 Spring Holiday

Week 6: 04/08 Distance-based Classifier (遠距同步視訊)

Lecture Note : Distance-based Classifier (GSlide, PDF)

Homework : R1. Distance Metrics

Readings :

Week 7: 04/15 Minimum Distance Classifier (非同步網路授課)

Lecture Note : Minimum Distance Classifier (GSlide, PDF, Youtube)

Homework : R2. Bayesian Inference

Readings :

  • "Chapter 3 Classification by Distance Functions and Clustering", Introduction to pattern recognition : statistical, structural, neural, and fuzzy logic approaches, M. Friedman and A. Kandel, World Scientific, 1999. [FJU Lib紙本書] [PDF 限輔大IP下載]
  • Minimum Distance to Class Mean Classifier, GitHub, 2017. [Matlab]
  • Minimum Distance Classifier, Kaggle, 2017. [Python] (Digit Recognition example, kmeans, multiple clusters)
  • SUPERVISED IMAGE CLASSIFICATION USING MINIMUM DISTANCE ALGORITHM, 2017.
  • M.E. Hodgson, "Reducing the computational requirements of the minimum-distance classifier," Remote Sensing of Environment, Volume 25, Issue 1, pp. 117-128, 1988.
  • R.M. Bowman, E.S. McVey, "Calculation of multi-category minimum distance classifier recognition error for binomial measurement distributions," Pattern Recognition, Vol. 4, No. 3, pp. 275-288, 1972.

Week 8: 04/22 Probability-based Classifier (遠距同步視訊)

Lecture Note : Probability-based Classifier (GSlide, PDF)

Homework : P2. k-Nearest Neighbor (kNN) Classifier

Readings :

Week 9: 04/29 Midterm Week

Lecture Note : None

Homework : None

Readings : None

Week 10: 05/06 Bayes Classifier (I) (遠距同步視訊)

Lecture Note : Bayes Classifier (I) (GSlide, PDF)

Homework : None

Readings :

Week 11: 05/13 Bayes Classifier (II) (遠距同步視訊)

Lecture Note : Bayes Classifier II (GSlide, PDF)

Homework : P3. Discriminant analysis

Readings :

Week 12: 05/20 Bayes Classifier (II) (遠距同步視訊)

Lecture Note : Bayes Classifier II (GSlide, PDF)

Homework : P4. Bayes Classifier

Readings :

Week 13: 05/27 Biometrics Recognition (SF738)

Lecture Note : Biometrics Recognition (GSlide, PDF)

Homework : None

Readings : NONE

Week 14: 06/03 Support Vector Machine (SF738)

Lecture Note : SVM (GSlide, PDF)

Homework : P5. SVM

Readings :

Week 15: 06/10 Clustering (SF738)

Lecture Note : Clustering (GSlide, PDF)

Homework : None

Readings :

Week 16: 06/17 暫停一次

Lecture Note : NONE

Homework : None

Readings : None

Week 17: 06/24 Final term Week

Lecture Note : None

Homework : None

Readings : None