中文课程简介

本课程将重点介绍图像识别和机器学习的基本理论，包括线性识别函数，Bayes理论，无监督学习，特征选择，子空间学习，图像特征提取，深度学习。同时我还将介绍最新的图像识别技术以及在基于医学图像診断上的应用。

英文课程简介

The objective of the course is to introduce students the basic issues involved with image recognition, image analysis and machine learning. This course will be mainly focused on linear discriminant functions, Bayes-theory, unsupervised learning, feature selections, subspace learning, image feature extraction and deep learning based image recognition, etc. I will also introduce the state-of-the-art image recognition techniques and their applications in medical image analysis.