Committee
Conference Chairs
Yen-Wei Chen, Ritsumeikan University, Japan
Sam Kwong (IEEE Fellow), Lingnan University, Hong Kong, China
Conference Co-chair
Jianhua Zhang, Oslo Metropolitan University, Norway
Program Chairs
Raouf Hamzaoui, De Montfort University, UK
Chi-Man Pun, University of Macau, Macau, China
Edmund Lai, Auckland University of Technology, New Zealand
Hui Yuan, Shandong University, China
Tomoko Tateyama, University of the Ryukyus, Japan
Kezhi Mao, Nanyang Technological University, Singapore
Publication Chair
Yinhao Li, Ritsumeikan University, Japan
Publicity Chairs
T. Akilan, Lakehead University, Canada
Qingjie Meng, University of Birmingham, UK
Yutaro Iwamoto, Osaka Electro-Communication University, Japan
Yan Pang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
Area Chair
Q. M. Jonathan Wu, University of Windsor, Canada
Local Organizing Chair
Jiaqing Liu, Ritsumeikan University, Japan
Keynote Speakers
Prof. Weisi Lin (IEEE/IET Fellow), Nanyang Technological University, Singapore
Prof. Sung-Bae Cho (IEEE/AAIA Fellow, Korean Academy of Science and Technology (KAST ), National Academy of Engineering of Korea (NAEK)), Yonsei University, South Korea
Prof. Cathal Gurrin, Dublin City University, Ireland
Topics (Topics of interest for submission include, but are not limited to:)
Track 1: Machine Learning
▪ Active learning
▪ Dimensionality reduction
▪ Feature selection
▪ Graphical models
▪ Imitation learning
▪ Intelligent business computing
▪ Intelligent systems
▪ Intelligent control system
▪ Intelligent human machine interface
▪ Intelligent robot
▪ Latent variable models
▪ Learning for big data
▪ Learning from noisy supervision
▪ Learning in graphs
▪ Multi-objective learning
▪ Multiple instance learning
▪ Multi-task learning
▪ Online learning
▪ Optimization
▪ Reinforcement learning
▪ Relational learning
▪ Semi-supervised learning
▪ Sparse learning
▪ Statistical machine learning
▪ Structured output learning
▪ Supervised learning
▪ Transfer learning
▪ Unsupervised learning
▪ Other machine learning methodologies
Track 2: Pattern Recognition
▪ Analysis and detection of singularities
▪ Animation image analysis
▪ Classification
▪ Cluster analysis
▪ Deformation analysis
▪ Descriptor of shapes
▪ Diagnosis of faults
▪ Document analysis
▪ Emotion computation
▪ Enhancement and restoration
▪ Feature extraction
▪ Hand gestures classification
▪ Human face recognition
▪ Image compression
▪ Image fusion
▪ Image indexing and retrieval
▪ Image recovery
▪ Invariant representation of patterns
▪ Iris pattern recognition
▪ Learning theory
▪ Machine vision
▪ Medical image analysis
▪ Noise reduction
▪ Nonstationary stochastic processing
▪ Range imaging and detection
▪ Segmentation
▪ Stochastic pattern recognition
▪ Texture analysis and classification
▪ Visualization
More Details please click: https://www.mlpr.org/cfp.html
Paper Requirement
Papers should be prepared in English and carefully checked for correct grammar. Figures should be of high quality. Your submitted work must be original in the sense that it has never been published nor submitted for publication consideration anywhere. To ensure high scientific quality, all papers will be double-blind reviewed by the Technical Committee Members.
* Abstract submission for presentation only without publication.
* Full paper submission for both presentation and publication. Full Paper should be no less than 8 full pages.
Submission Method:
* Online Submission System: http://confsys.iconf.org/submission/mlpr2026.
More Details please click: https://www.mlpr.org/sub.html
Contact us
Conference secretary: Miss Tessa Chen
Tel: +86-13103333373
Email: mlpr_Confoutlook.com
Office Hour: 9:30--18:00, Monday to Friday (GMT+8 Time Zone)