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        计算机学院
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        站内搜索:
         
          学术交流
         学术交流 
         
          学术交流    
        林宙晨教授到我院做“数学在计算机视觉中的应用的例子”学术报告
         

        单 位:计算机学院              
        地 点:工学一号馆学术报告厅216  
        时 间:2016年8月31日(星期三)上午9:30-11:30PM


          日期

         报告时间

         报告主题

         报告人

         所属单位

         16
         年
         8
         月
         31
         日

        9:30—10:30

        Applications of Mathematics

        in Computer Vision by Examples

         林宙晨教授

         北京大学

        10:30—11:30

        How to Have a Successful

        Graduate Life?

         林宙晨教授

         北京大学


        Bio:
        Prof. Zhouchen Lin received the Ph.D. degree in applied mathematics from Peking University in 2000. He is currently a Professor at Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University. His research interests include computer vision, image processing, machine learning, pattern recognition, and numerical optimization. He is an area chair of CVPR 2014/2016, ICCV 2015 and NIPS 2015 and a senior program committee member of AAAI 2016/2017 and IJCAI 2016. He is an associate editor of IEEE Trans. Pattern Analysis and Machine Intelligence and International J. Computer Vision.
         
        Title: Applications of Mathematics in Computer Vision by Examples
         
        Abstract: Mathematics is the foundation of many scientific and technological subjects, including artificial intelligence. However, many students may not be actively in learning mathematics. One of the major reasons may be that they do not know how mathematics can be applied to real problems. In this talk, based on my own expertise I give examples of applications of mathematics in computer vision. The exemplar mathematics include: linear algebra, graph theory, statistics, partial differential equations, etc.
         
        Title: How to have a successful graduate life?
        Abstract: Most of the graduate students do not know why and how they should pursuit their graduate degrees. This leads to their unsuccessful graduate lives: either aimlessly, or ineffectively, or inefficiently. In this talk, I will give some guidance towards a successful graduate life.
         
         
         
         

         

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