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
时 间：
5月3号 周四 10:00-11:00；5月4号周五 10:00-11:00
5月5号 周六 10:00-11:00；5月6号周日 10:00-11:00
5月7号 周一 14:30-15:30；5月8号周二 14:30-15:30
地 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.。
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南昌大学科技处
理学院数学系
二〇一八年五月