Call for papers for a Special Issue of Pacific Journal of Optimization
Pattern recognition and data mining are two important research tasks in last two decades and many important results have been achieved with broad applications. In this process, optimization theory plays an important role. Recently, significant progress has been achieved in developing advanced techniques on machine intelligence and data analytics, especially due to rapid progress in optimization theory and the deep learning neural networks. To reflect recent progress, we have organized the first symposium on Machine Intelligence and Data Analytics in December 2017 and more than 120 papers have been presented in this conference. Now, we will select some high-quality papers from this conference related to optimization and deep learning techniques as a special issue for this reputed journal: Pacific Journal of Optimizations.
This special issue is intended to select some high-quality papers from the accepted papers in this conference with the following potential topics.
Potential topics include, but are not limited to:
• Optimization theory in deep learning neural networks
• Robust face recognition with sparse sensing techniques
• Image understanding based PDE optimization
• Clustering and classification techniques
• Educational data analysis
• Big data analysis
• Randomized algorithm
Guest Editors
Dr. Wanquan Liu,
Curtin University, Australia
w.liu@curtin.edu.au
Prof. Jie Sun,
Curtin University, Australia
jie.sun@curtin.edu.au
Dr. Huafeng Wang,
North China University of Technology, Beijing, P. R. China
wanghuafeng@ncut.edu.cn
Prof. Daoqiang Zhang
Nanjing University of Aeronautics and Astronautics, Nanjing, PR China
dqzhang@nuaa.edu.cn
Manuscript Due
Monday, 2 April., 2018
First Round of Reviews
Friday, 29, June, 2018
Final Notification Date
Friday, 28, Sep., 2018