报告主题: 《人工智能》系列讲座
报告专家：美国华盛顿大学黄正能教授
报告时间：12月3日（周六）9:00-11:45
报告地点：教学楼C114
内容介绍：各位老师，美国华盛顿大学黄正能教授将开设《人工智能》系列讲座，内容非常丰富，将分布在12月完成，请有兴趣的老师提前安排好时间，欢迎大家参加。第一次授课时间：12月3日（周六）9:00-11:45，地点教学楼C114。系列讲座共计18小时，内容包括：（1）Introduction(2 hours)：Visual Data and Features、Distance Measure of Visual Features、Machine
Learning Performance Metrics；（2）Unsupervised Learning of Visual Data (3 hours)：Discriminative and Generative Modeling、K-Means Clustering、Gaussian Mixture Modeling、Graph Clustering and Normalized Cut、Application to Image Segmentation；（3）Supervised Learning (3 hours)：Classification Trees and Random Forest、Support Vector Machine、Distance Metric Learning；（4）From Neural Networks to Deep Learning (2 hours)：Backpropagation
Learning、Deep Convolution Neural Networks、Auto Encoding Deep Learning and Sparse Representation；（5）Hidden Markov Model and Reestimation Learning(2 hours)；（6）Applications to Image Object Detection & Recognition (3 hours)：Face Detection and Adaboost、Eigen-Face,
Fisher-Face Recognition、LBP Face Recognition、DPM Human Detection；（7）Application to Video Object Segmentation and Tracking (3 hours)：Background Building、Video Object Segmentation、Kalman Filter based Tracking、Kernel-based Mean Shift Tracking、Tracking via Detection.
