Contents Intro.

This talk covers simple yet useful matrix algebra that is fundamental tonumerical solution methods for various computer vision and signal processingproblems. In particular, this talk illustrates some important linearalgebraic operations that are crucial for solving optimization problems,together with their applications to computer vision. The talk begins withreviewing basic linear system and norm approximation, then proceeds tomethods for deriving sparse and/or low-rank solutions. The talk is designedfor people who are not familiar with matrix operations for optimization incomputer vision and kept easy to understand.

Details

Publication year

2015

Form

電子化映像資料(1時間29分12秒)

Series title

情報科学研究科・ゼミナール講演 ; 平成27年度

Note

講演者所属: 大阪大学大学院情報科学研究科

講演日: 平成27年10月19日

講演場所: 情報科学研究科大講義室L1

Country of publication

Japan

Title language

English (eng)

Language of texts

English (eng)

Author information

松下, 康之