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理学院“格物论坛”学术报告(十八-二十三)Brito教授学术报告

作者:    来源:     点击数:       时间:2018-05-02     【打印文章】


报告题目: Mathematical modeling and solution of different imaging and supervised learning problems, using variational techniques.

Topics to cover:

Introduction to variational techniques

Image denoising and inpainting

Image registration

Introduction to level set methods and image segmentation

Demodulating phase maps from fringe pattern images

Supervised learning 

Numerical methods

报 告 人:Universidad Atuonoma de Yucatan

       Carlos Francisco Brito Loeza  教授、博导

    间:

53号 周四 10:00-11:0054号周五 10:00-11:00

55号 周六 10:00-11:0056号周日 10:00-11:00

57号 周一 14:30-15:3058号周二 14:30-15:30

    点:理生楼多功能厅B705

简介:

In the last two decades, variational techniques have proved to be successful in solving difficult problems in the image restoration and processing fields. Examples of such techniques are image denoising, inpainting, segmentation and registration algorithms. More recently, the same techniques are being explored in the fringe pattern analysis field and for developing new supervised learning methods. In these series of talks we will cover the basic foundations of the variational methods, then move to some applications and finally we will explore some popular numerical methods.

欢迎广大师生参加!

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                 学院数学系

               二〇一八年五月


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