Pattern Recognition, Fall 2014

Course Schedule

1st week

        09/16   Course overview, Chapter 1 : Introduction

2nd week

        09/23   Chapter 2 : Bayesian Decision Theory

3rd week

        09/30   Chapter 2 : Bayesian Decision Theory

4th week

        10/07   Chapter 2 : Bayesian Decision Theory

5th week

        10/14   Chapter 2 : Bayesian Decision Theory

6th week

        10/21   Chapter 2 : Bayesian Decision Theory

7th week

        10/28   Chapter 2 : Bayesian Decision Theory

8th week

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

9th week

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

10th week

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

11th week

        11/25   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

12th week

        12/02   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

13th week

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

14th week

        12/16   論文選讀：Eigenfaces vs. Fisherfaces

                   Oral Presentation
                   柳維：Detecting pedestrians using patterns of motion and appearance
           王俊聖：Learning to detect phishing emails
                   黃喬健：Fast human detection using a cascade of histograms of oriented gradients

15th week

        12/23   Oral Presentation
           許福全：Learning realistic human actions from movies
           何雨龍：Fast and inexpensive color image segmentation for interactive robots
           盧昭亮：Automatic seeded region growing for color image segmentation
           張浩翔：Actions in context
           薛渙陹：Image hiding by optimal LSB substitution and genetic algorithm
           楊曉蒨：Hiding data in images by simple LSB substitution

16th week

        12/30   Oral Presentation
           何承祐：Mean-shift blob tracking through scale space
           陳妍如：Face description with local binary patterns: Application to face recognition
           蔡雨憙：Behavior recognition via sparse spatio-temporal features
           劉亞帆：A statistical method for 3D object detection applied to faces and cars
           彭信忠：Human detection based on a probabilistic assembly of robust part detectors
           許智宏：One-class SVM for learning in image retrieval

17th week

        01/06   Oral Presentation
           陳聖軒：Image quality assessment: from error visibility to structural similarity
           陳凱文：FSIM: a feature similarity index for image quality assessment
           陳昱廷：PCA-SIFT: A more distinctive representation for local image descriptors
           鄭蓋聲：P-N learning: Bootstrapping binary classifiers by structural constraints
           蔡志明：Composite kernels for hyperspectral image classification