课程号：PY206005

课程名：人工智能与机器学习：在计算机视觉中的应用

英文课程名：Artificial Intelligence and Machine Learning - Applications to Computer Vision.

开课单位：物理与光电工程学院

授课教师：David Suter

责任教师：秦翰林   李欢

学分/学时：1学分/16学时

教师简介：David Suter 教授是澳大利亚拉筹伯大学教授、阿德莱德大学兼职教授，主要研究方向有计算机图形学、机器学习等，先后担任International Journal of Computer Vision, Pattern Recognition, Machine Vision and Applications等国际著名期刊的编委。David 教授发表包括 IEEE TPAMI, TIP, IJCV, CVPR, ICCV等顶级期刊和会议100多篇，google引用7000多次。David Suter is a Professor of Computer Science in the School of Science (Computing and Security).  He leads a team carrying out leading research in computer vision and big-data analysis. His special expertise includes robust statistical fitting, computational geometry and machine learning。Editorial Board of “International Journal of Computer Vision” (2004-2013) (currently on the Honorary Editorial Board)，Editorial Board “Pattern Recognition” (Aug 2017 – present)，Editorial Board of “Machine Vision and Applications” (2006- 2008)。 He has published many papers including IEEE TPAMI,IEEE TIP, CVPR, ICCV and so on.

课程简介：本课程名称为人工智能与机器学习：计算机视觉中的应用。主要包括： 介绍和未知搜索，已知搜索和对抗搜索，模型拟合回归和分类，树搜索鲁棒拟合，决策树，布尔函数，概率和贝叶斯网，神经网络和深度学习。This course is named Artificial Intelligence and Machine Learning:Applications to Computer Vision, which includes Introduction and Uninformed Search, Informed Search and Adversarial Search，Model Fitting-regression and classification, Tree Search for Robust Fitting, Decision Trees, Boolean Functions, Probability and Bayes Nets and Neural Nets and Deep Learning.

先修课程：无