Syllabus

Course: Large-Scale Data Analysis and Search (大規模資料分析與搜尋)

Credit: 3

Class: 資訊工程學系 碩博 選修

Instructor: 邱志義 (email: cychiu@cs.ccu.edu.tw)

Course Description

1. Teach students who want to learn the basic concepts and state-of-the-art of large-scale data analysis techniques, in particular for multimedia content analysis and search.

Reference

1. Introduction to information retrieval

2. TRECVID

3. MIREX

4. MMM 2024: Video Browser Showdown

5. NeurIPS'23 Competition Track: Big-ANN

6. SISAP 2023: LAION2B challenge

7. SIGIR, SIGMM, WWW, and CVPR related conferences and journals

Evaluation

1. Midterm exam (30%)

2. Term project (30%)

3. Paper presentation (40%): every one has to select 1-2 papers (from the paper list given in this web site) and present around 40-60 minutes for each paper.