学术讲座-Vision Recognition using Representation-based Classification Methods
发布者：
科研处
更新日期：
2018-06-04
访问次数：
471
举办单位：信息科学与工程学院 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 |
☑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.
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