컴퓨터 비젼 특론

강의상세

컴퓨터 시각 분야 관련된 세부 연구를 조사하여 발표 및 토론

Introduction to Pattern Recognition (1)

1.		Introduction to Pattern Recognition (1)
		Introduction to Pattern Recognition (2)
2.		Ch2. Bayesian Decision Theory (1)
		Ch2. Bayesian Decision Theory (2)
3.		Ch2. Bayesian Decision Theory (3)
		Ch2. Bayesian Decision Theory (4)
4.		Ch2. Bayesian Decision Theory (5)
		Ch2. Bayesian Decision Theory (6)
5.		Ch3. Maximum-Likelihood & Bayesian Parameter Estimation
6.		Ch4. Non-Parametric Classification (1)
		Ch4. Non-Parametric Classification (2)
7.		K-nearest Neighborhood and Homework
8.		Ch6. Multilayer Neural Networks (1)
		Ch6. Multilayer Neural Networks (2)
9.		Component Analysis and Discriminants
10.		Fisher Linear Discrimininant
11.		Ch10. Unsupervised Learning & Clustering (1)
		Ch10. Unsupervised Learning & Clustering (2)
12.		Ch5. Linear Discriminant Fuctions
13.		Support Vector Machine