報告主題: 《人工智能》系列講座
報告專家：美國華盛頓大學黃正能教授
報告時間👨🏼🎓：12月3日（周六）9:00-11:45
報告地點💇🏼♂️：教學樓C114
內容介紹：各位老師🛀🔍，美國華盛頓大學黃正能教授將開設《人工智能》系列講座，內容非常豐富，將分布在12月完成，請有興趣的老師提前安排好時間，歡迎大家參加。第一次授課時間✍🏼：12月3日（周六）9:00-11:45，地點教學樓C114。系列講座共計18小時，內容包括🧑🏿⚕️：（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 Segmentation7️⃣、Kalman Filter based Tracking🤸🏼♀️、Kernel-based Mean Shift Tracking、Tracking via Detection.
