International Conference on Machine Learning and Pattern Recognition on July 25-27, 2025 in Kyoto, Japan
- Event Type: Conference
- Presentation: Physical
- Website URL: http://www.mlpr.org/
- Program URL: https://www.mlpr.org/prog.html
- Contact URL: https://www.mlpr.org/contact.html
- Contact E-mail: [email protected]
- Location: Kyoto, Japan
- Date: July 25-27, 2025
- Final Submission: June 10, 2025
- Organization: International Association of Computer Science and Information Technology
- Conference Tags: electrical machines agricultural machinery pattern recognition machine intelligence machine learning
Conference Proceedings:
Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published into Lecture Notes in Electrical Engineering (Electronic ISSN: 1876-1119 & Print ISSN: 1876-1100) as a proceedings book volume. The book series will be indexed by EI Compendex, SCOPUSS, INSPEC, SCImago and other database.
Conference Schedule:
Day 1 - Friday - July 25, 2025
10:00 - 17:00 Sign In and Conference Material Collection
16:00 - 18:00 Committee Conference
Day 2 - Saturday - July 26, 2025
09:00 - 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
Day 3 - Sunday - July 27, 2025
09:00 - 12:00 Invited Speeches and Parallel Oral Sessions
12:00 - 13:30 Lunch
13:30 - 19:00 City Tour
Contact:
Conference Secretary: Miss Luna Wu
Email: [email protected]
Tel.: +86-18000547208
WeChat: csit2009
Call for Paper:
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
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
For more topics, please check: http://www.mlpr.org/cfp.html
Name: International Association of Computer Science and Information Technology
Website: http://www.iacsit.org/
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