SS04: Pattern Recognition and Machine Learning(ISICA 2021 Special Session)

With the rapid development of computer science, pattern recognition, which has its origins in engineering, plays more and more important role in many modern artificial intelligence field, and more and more new approaches of machine learning have been proposed to solve pattern recognition problems. This session provides a forum for researchers to present and discuss the latest research results, to summarize recent advances, to evaluate existing algorithms and methods, and to timely identify and address emerging problems and challenges with regard to pattern recognition and machine learning.

Scope

Potential authors for this Special Session should present original research and innovative results including (but not limited to) the following topics:

• Kernel methods and support vector machines
• Neural networks and deep learning
• Ensembles learning
• Bayesian methods
• Local fisher discriminant analysis
• Structured prediction model learning
• Transfer learning
• Massive data learning
• Intelligent control and automation
• Computer vision

Organizers

JiaHai Wang
Sun Yet-Sen University, China, wangjiah@mail.sysu.edu.cn
Zhihui Zhan
Sun Yet-Sen University, China, zhanzhh@mail.sysu.edu.cn