四川大学国际课程周

SICHUAN UNIVERSITY UIP 2022

学习资料专区

教师 Teacher

T Yanwei Chen
计算机学院

推荐资源 Recommended Material

课程名称 Course Title

Fundamentals of Image Recognition and Applications

"The objective of the course is to introduce students to the basic issues involved with fundamentals of image recognition, image analysis and their applications. This course will be mainly focused on linear discriminant functions, Bayes-theory, unsupervised learning, PCA and LDA based feature selections, image feature extraction and deep learning and deep learning- based image recognition, etc. Some basic knowledge on image processing and computer graphics, good programming skills and mathematical background are needed. Once completing the course, the students should have enough background knowledge to conduct research in the related areas. "

课程大纲 Course Outline

"1.Introduction to Image Recognition 2.Linear discriminant functions (1) 3.Linear discriminant functions (2) 4.Bayes-Theory (1) 5.Bayes-Theory (2) 6.Unsupervised learning 7.Feature selection and dimension reduction (1) 8.Feature selection and dimension reduction (2) 9.Subspace learning 10.Image feature extraction 11.Radiomics 12.Fundamentals of deep learning 13.Deep learning-based image detection and segmentation 14.Deep learning-based super resolution 15.Application of deep learning (1) Application of deep learning (2)"