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Matrix Algebra in Computer Vision MPMeister


生駒 : 奈良先端科学技術大学院大学, 2015.10

Related materials

  Volume Printing year Location Call Number Material ID Circulation class Status Waiting
1 MPMeister   Digital Library LA-I-R[Flash][Mobile] M013122   0
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.
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