Conference Information
IPMLP 2026: International Conference on Image Processing, Machine Learning and Pattern Recognition
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Submission Date: |
2026-05-26 |
Notification Date: |
|
Conference Date: |
2026-07-10 |
Location: |
Yinchuan, China |
Years: |
3 |
Viewed: 9686 Tracked: 2 Attend: 0
Call For Papers
The 3rd International Conference on Image Processing, Machine Learning, and Pattern Recognition (IPMLP 2026) provides a premier forum for the presentation of new advances and research results in the fields of Image Processing, Machine Learning, and Pattern Recognition. The conference will bring together leading researchers, social workers and scientists in the domain of interest from around the world.
The topics of interest for submission include, but are not limited to:
◕ Track 1: Image and Signal Processing
· Image Recognition
· Image Acquisition
· Visual Analysis and Understanding
· Image Enhancement and Restoration
· Image and Video Generation
· 3D Modeling
· Signal Recognition
· Information Fusion
· Image Coding and Compression
· Digital Watermarking
· Computational Imaging
◕ Track 2: Pattern Recognition Technology
· Computer Vision Systems
· Feature Extraction
· Human-Computer Interaction
· Neural Networks
· Target Detection and Classification
· Biometrics Recognition
· Image Segmentation
· Speech Recognition
◕ Track 3: Machine Learning and Intelligent Sensing
· Intelligent Sensors
· Automated Driving
· Deep Learning
· Supervised Learning
· Unsupervised Learning
· Reinforcement Learning
· Federated Learning
· Data Enhancement
· Edge Computing and Intelligent Sensing
· Big Data Analytics
· Distributed Sensing
· Data Processing
· Machine Learning and Perception
The topics of interest for submission include, but are not limited to:
◕ Track 1: Image and Signal Processing
· Image Recognition
· Image Acquisition
· Visual Analysis and Understanding
· Image Enhancement and Restoration
· Image and Video Generation
· 3D Modeling
· Signal Recognition
· Information Fusion
· Image Coding and Compression
· Digital Watermarking
· Computational Imaging
◕ Track 2: Pattern Recognition Technology
· Computer Vision Systems
· Feature Extraction
· Human-Computer Interaction
· Neural Networks
· Target Detection and Classification
· Biometrics Recognition
· Image Segmentation
· Speech Recognition
◕ Track 3: Machine Learning and Intelligent Sensing
· Intelligent Sensors
· Automated Driving
· Deep Learning
· Supervised Learning
· Unsupervised Learning
· Reinforcement Learning
· Federated Learning
· Data Enhancement
· Edge Computing and Intelligent Sensing
· Big Data Analytics
· Distributed Sensing
· Data Processing
· Machine Learning and Perception
Last updated by Dou Sun in 2026-02-26
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Related Journals
| CCF | Full Name | Impact Factor | Publisher | ISSN |
|---|---|---|---|---|
| a | IEEE Transactions on Image Processing | 13.7 | IEEE | 1057-7149 |
| b | Pattern Recognition | 7.6 | Elsevier | 0031-3203 |
| b | Information Processing & Management | 6.9 | Elsevier | 0306-4573 |
| Interactive Learning Environments | 5.3 | Taylor & Francis | 1049-4820 | |
| c | IEEE Signal Processing Letters | 3.9 | IEEE | 1070-9908 |
| c | Pattern Recognition Letters | 3.9 | Elsevier | 0167-8655 |
| b | Machine Learning | 2.9 | Springer | 0885-6125 |
| c | Neural Processing Letters | 2.8 | Springer | 1370-4621 |
| c | Signal Processing: Image Communication | 2.7 | Elsevier | 0923-5965 |
| c | Information Processing Letters | 0.700 | Elsevier | 0020-0190 |