The 3rd International Workshop on Machine Learning on Multimedia and Applications (MLMA 2025)
In conjunction with
The 13th International Conference on Ubi-Media Computing (Ubi-Media 2025)
January 19-23, 2025, Bangkok, Thailand
Important Dates
Paper Submission Due: Sep. 30, 2024 Oct. 15, 2024
Notification of Acceptance: Oct. 31, 2024
Camera-Ready Copies Due: Nov. 15, 2024
Early Registration Due: Dec. 15, 2024
Workshop Date: One day during Jan. 20-22, 2025
Theme of the Workshop
Recently, machine learning is affecting the lives of people from moment to moment. This techniques have been proven and widely used in several domains. Multimedia has emerged as one key area for the application of machine learning techniques, which involves special considerations the data is typically of very high dimension. Due to the widespread practicability, there are several important aspects to apply various machine learning on multimedia, such as over-fitting/under-fitting, regularization, interpretability, supervised/unsupervised methods, and handling of missing data. The 1st International Workshop on Machine Learning on Multimedia Applications (MLMA 2025) will serve as a forum for researchers and technologists to discuss the state-of-the-art, exchange their experiences, present their contributions and original ideas, and set future directions in in all aspects of machine learning and technologies on multimedia applications.
Organization Committee
Program Committee Co-chairs
Yi-Cheng Chen, National Central University, Taiwan
Yan Liu, Hong Kong Polytechnic University, Hong Kong
Lin Hui, Tamkang University, Taiwan
Sheng-Chih Chen, National ChengChi University, Taiwan
Program Committee Members
Philip S. Yu, University of Illinois at Chicago, USA
Jiannong Cao, Hong Kong Polytechnic University, Hong Kong
Vincent S. Tseng, National Chiao Tung University, Taiwan
Keith Chan, Hong Kong Polytechnic University, Hong Kong
Joshua Zhexue Huang, Shenzhen University, China
Yan Huang, University of North Texas, USA
Wang-Chien Lee, Pennsylvania State University, USA
Xiaohua Tony Hu, Drexel University, USA
Wei-Shinn Ku, Auburn University, USA
Xiang Zhang, Case Western Reserve University, USA
Dai Bing Tian, Singapore Management University, Singapore
Meng-Fen Chiang, Singapore Management University, Singapore
Workshop Scope
The topics of interest related to this workshop include, but are not limited to:
Learning algorithm on multimedia
- Unsupervised learning
- Supervised learningDimensionality reduction
- Principal Component Analysis
- Independent Component Analysis
- Self-Organizing Maps
- Multi-Dimensional ScalingDeep learning technology work structure
- Model optimization
- Learning rate tuningData processing
- Data Collection
- Data Cleaning
- Big dataProblem on implementation
Applications
- Social Network, Recommendation System
- Mobility, Sensor Network
- Bioinformatics
- E-Commerce
Paper Submission
Papers submitted must be formatted in PDF files, IEEE Computer Society Press Format, NOT longer than 6 pages
Workshop proceedings will be included and indexed in the Communications in Computer and Information Science (CCIS)
Submission & Format information: https://easychair.org/conferences/?conf=mlma2025
Workshop Contact Person
Yi-Cheng Chen, National Central University, Taiwan
Email: ycchen@mgt.ncu.edu.tw
Contact
Email ubimedia2025@gmail.com
The 13th International Conference on Ubi-Media Computing (Ubi-Media 2025/ I-SPAN 2025)