Full Name: The 4th International Conference on Machine Learning and Pattern Recognition (MLPR 2026)


Website: https://www.mlpr.org
Conference Date: December 4-6, 2026
Conference Venue: Kyoto, Japan



The 4th International Conference on Machine Learning and Pattern Recognition (MLPR 2026) will be held at Kyoto, Japan during December 4-6, 2026. MLPR 2026 is sponsored by Ritsumeikan University, Japan. The conference includes keynote talks, invited talks, forums and oral and poster presentations of author papers. We invite submissions of papers on all topics related to machine learning and pattern recognition for the main conference proceedings. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference. It is our pleasure to welcome you to MLPR 2026.




Publication
==Conference Proceedings==
Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the Conference Proceedings.



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



Conference Program
Friday - December 4, 2026
10:00 - 17:00 Sign In and Conference Material Collection
16:00 - 18:00 Committee Conference
Saturday - December 5, 2026
9:00 - 12:00 Opening Ceremony and Keynote Speeches
12:00 - 13:30 Lunch
13:30 - 15:30 Invited Speeches and Parallel Oral Sessions
15:30 - 16:30 Poster Sessions
16:30 - 18:30 Invited Speeches and Parallel Oral Sessions
18:30 - 20:30 Dinner Banquet and Award Ceremony
Sunday - December 6, 2026
9:00 - 12:00 Invited Speeches and Parallel Oral Sessions
12:00 - 13:30 Lunch
13:30 - 19:00 City Tour




Contact us

Conference secretary: Miss Tessa Chen
Tel: +86-13103333373
Email: mlpr_Conf@outlook.com
Office Hour: 9:30--18:00, Monday to Friday (GMT+8 Time Zone)