Course Outline

o      9/26 - Introduction & Logistics (prof. Chang)

o      10/1 – Multimodal Information Systems (prof. Chang)

o      10/3 - Virtual IO (Zoran & Raju)

 

o      10/8 – Low-level Feature Extraction (Yang Meng)

 

o      10/10 – High-level Semantics: Introduction to Machine Learning - HTV Chapter 1 (prof. Chang)

o      10/11 – Project Meeting

o      10/15 – Supervised Learning - HTV Chapter 2 (prof. Chang)

o      10/17 – Guest Lecture: Video Analysis and Systems Integration (Dr. Alexandre Francois, USC, Engineering-II Pavilion)

o      10/18 – Project Proposal Due

o      10/22 - Image Annotation (Student)

 

o      10/24 – Kernel Methods I – HTV Chapters 4 (prof. Chang)

 

o      10/25 – Guest Lecture: Web Crawling and Mining (prof. Junghoo Cho, UCLA, Engineering-1 #2162)

 

o      10/29 – Kernel Methods II – HTV Chapter 6 (prof. Chang)

 

o      10/31 – Similarity (Beitao Li & Yi Wu)

 



o      11/5 - Model Inference and Averaging – HTV Chapter 8 (prof. Chang)

o      11/7 - Information Retrieval Fundamentals (Wenrui Gong)

 

o      11/12 - Personalization I (Wenrui Gong)

 

o      11/14 – Term Project Discussion (Project Leads, Engineering-1, #2164)

 

o      11/19 - Personalization II (prof. Chang)


 

o      11/21 - High-dimensional Indexing (Kingshy Goh)


o      11/26 – Unsupervised Learning – HTV Chapter 14 (prof. Chang)


o      11/28 – Thanksgiving Holiday


o      12/6 – Course Review

 

o      12/6  – 16 - Final project demos by appointment