數據挖掘與視覺化 Data Mining and Visualization

課程須知 

ch1_電腦視覺簡介 

ch2 車牌辨識 

ch3 人臉偵測

ch4 SVM物件辨識

ch5 PCA/LDA人臉辨識

ch6 VAE

Ch7 GAN 

W1 (9/11): 

• 課程介紹&電腦視覺-function&CNN

W2 (9/18): 

• 新南向演講 

• Python 基礎影片 (1) (2) (3) (4)

W3 (9/25): 

• NN&CNN classifier-(I)

W4 (10/2) : 

• NN&CNN classifier-(II)

W5 (10/9)

• License plate correction &recognition(車牌辨識與校正)-I-Bayesian Classifier

W6 (10/16)

• License plate correction &recognition(車牌辨識與校正)-II 

W7 (10/23)

• paper-disscusssion 

  • cnn&histigram&affine

• programming quizzes (Python) *2: affine& histogram &cnn code 

W8 (10/30)

• Adaboost 分類(相機人臉偵測)_1

W9 (11/06)

• Adaboost 分類(相機人臉偵測)_2

W10 (11/13) 

• paper-disscusssion 

  • cnn&Adaboost

• programming quizzes (Python) *2: Adaboost&Bayesian 

W11 (11/20)

• Object tracking (物件追蹤): SVM (support vector machine) --線上課程

W12 (11/27) 

• Face recognition- PCA (人臉識別) (Principal Component Analysis)/LDA (Linear Discriminant Analysis (I)

W13 (12/4)

• Face recognition- PCA (人臉識別) (Principal Component Analysis)/LDA (Linear Discriminant Analysis (II)

W14 (12/11)

• paper-disscusssion 

  • cnn&SVM

• paper-disscusssion 

  • cnn&PCA

• programming quizzes (Python) *1: PCA

W15 (12/18)

• 期末 Exam 

W16 (12/25)

• 放假 (繳交 錄影期末報告) 

  • video (ppt+program demo)