会议信息
IPMLP 2026: International Conference on Image Processing, Machine Learning and Pattern Recognition
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截稿日期: |
2026-05-26 |
通知日期: |
|
会议日期: |
2026-07-10 |
会议地点: |
Yinchuan, China |
届数: |
3 |
浏览: 9799 关注: 2 参加: 0
征稿
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
最后更新 Dou Sun 在 2026-02-26
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|---|---|---|---|---|---|---|---|
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相关期刊
| CCF | 全称 | 影响因子 | 出版商 | 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 |