讲座题目

Vision Recognition using Representation-based Classification Methods

讲 座 人

冯庆祥

讲座人

职称、职务

美国杜兰大学博士后

主持人

潘正祥院长

讲座类型

R自然科学

讲座对象

全校师生

举办时间

2018年6月8日

15：00-17：15

□社会科学

举办地点

信息学院C1-206

讲

座

人

简

介

02/2018 – Now, Postdoc in Tulane University
09/2015 – 12/2015. Research Assistant in University of Macau.
Project: Face Feature Extraction and Matching Technologies for Person Identification and
Tracking.
09/2014 – 08/2015. Research Assistant in Tsinghua University.
Project: Segmentation and Recognition of Clothing
01/2013 – 08/2014. Research Assistant in Harbin Institute of Technology (HIT).
Project: Smart cloud terminal system of car

Research Interests：Machine Learning, Image Classification, Sparse Coding, Deep Learning

讲    座

主要内容

Generally, vision recognition systems include feature exaction and classification processes. This talk focuses on the classification process and intends to propose better classification methods (classifiers) for vision recognition. Recently, representation based classifiers have attracted the increasing attention of researchers. To obtain betterperformance, several better representation methods for classification are proposed.