Course Overview

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. (Lecture in English)

Learning Achievement

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.

Competence

Knowledge Utilization Skills,International Skills,Research Skills,Expert Knowledge

Course prerequisites

Basic knowledge on Linear Algebra, Analysis, Probability and Statistics of undergraduate level. Understanding of basic signal processing would be a plus.

Grading Philosophy

Irregular small assignments and final term paper will be evaluated.

Course schedule

Course type

Lectures

Online Course Requirement

Instructor

Kameyama Keisuke

Other information

Identical to 01CF114 and 01CH609.
Lecture is conducted in English.
Online(Asynchronous) Lecture will be given in English. Submissions must be made in English.

Site for Inquiry

Link to the syllabus provided by the university