適応的メディア処理_E
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Instructor(s) |
Keisuke Kameyama
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Keisuke.Kameyama@cs.tsukuba.ac.jp | |
URL | https://adapt.cs.tsukuba.ac.jp/moodle342/course/view.php?id=2 (guest access allowed) |
Office hours | Please contact by mail. |
Cource# | 01CH609, 01CF114 |
Area | Media Engineering |
Basic/Advanced | |
Course style | Lecture |
Term | Spring AB |
Period | Mon2 |
Room# | 3B303 |
Keywords | Pattern Recognition, Adaptation, Feature Extraction, Image Processing, Machine Learning |
Prerequisites | Basic knowledge on Linear Algebra, Analysis, Probability and Statistics of undergraduate level. Understanding of basic signal processing would be a plus. |
relation degree program competence | Knowledge Utilization Skills,International Skills,Research Skills,Expert Knowledge |
Goal | |
Outline | Adaptive techniques in processing, recognition and retrieval of media information will be discussed. Much weight will be put on (re-)assuring the fundamental knowledge and algorithms in machine learning and signal/image processing, that are essential for adaptive handling of media contents. In addition, up-to-date methods in the field will also be mentioned. |
Course plan |
Weeks 1-2 Introduction and reviews on math used in this course. Weeks 3-7 Theories and techniques for adaptation, recognition and retrieval. Weeks 8-10 Applications |
Textbook | |
References |
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Evaluation | Irregular small assignments and final term paper will be evaluated. |
TF / TA | None |
Misc. | Lecture in English |