王波

Professor   Supervisor of Doctorate Candidates   Supervisor of Master's Candidates

Main positions:Professor

Gender:Male

Alma Mater:Dalian University of Technology

Degree:Doctoral Degree

School/Department:School of Information and Communication Engineering

Discipline:Signal and Information Processing

Business Address:A512, Haishan Building

Contact Information:bowang@dlut.edu.cn

E-Mail:bowang@dlut.edu.cn


Paper Publications

LOCALITY SENSITIVE DISCRIMINATIVE DICTIONARY LEARNING

Hits:

Indexed by:会议论文

Date of Publication:2015-09-27

Included Journals:EI、CPCI-S、Scopus

Volume:2015-December

Page Number:1558-1562

Key Words:Discriminative dictionary learning; pattern classification; supervised learning; locality

Abstract:Discriminative dictionary learning (DDL) has been applied to various pattern classification problems. Despite satisfying experimental results, most existing discriminative dictionary learning methods emphasize too much on the role of l(0) or l(1)-norm sparsity, while the underlying local structure of original data is totally ignored. In this paper, we present a novel dictionary learning method, named Locality Sensitive Discriminative Dictionary Learning (LSDDL), which combines basic dictionary learning scheme and locality relationship of original data which is propagated to the coding vectors. The learned discriminative dictionary can map the original data points into a new space in which the nearby points with the same label are close to each other while the nearby points with different labels are far apart. Experiments clearly show that our method has very competitive performance in contrast to previous discriminative dictionary learning methods.

Pre One:多媒体信息安全研究综述

Next One:Recording device identification based on cepstral mixed features

Profile

I am not a star professor, but I am working on the road to a star professor of tomorrow. For this reason, self-motivated graduate students are desired to my research group. Self-motivated attitude and initiative are the most important characteristics in our laboratory. Students with preliminary knowledge on signal (image/video) processing and programming skills are most welcome. For your academic trip in my group, I will devote myself to training your FIVE abilities: Intellectual skills, Communication skills, Personality characteristics, Habit of work, Mechanical skills, which are considered as the most important abilities of a graduated student.

http://ice.dlut.edu.cn/WangBo/index.html