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[交流] 【2019-06-25】【Ei/Scopus】2019年第二届模式识别与人工智能国际会议(PRAI 2019)

会议城市:

浙江温州肯恩大学

是否Ei/ISTP收录:

Ei收录

截稿日期:

2019年6月25日

2019年第二届模式识别与人工智能国际会议(PRAI 2019)--ACM出版，Ei核心和Scopus检索

2019年第二届模式识别与人工智能国际会议 (PRAI 2019 https://www.prai.net) 将于2019年8月26-28日在浙江温州肯恩大学举行。本届会议由温州肯恩大学主办，新加坡光学与光子学学会中国分部及浙江大学联合协办。会议诚邀模式识别与人工智能国际各界专家学者、学生、产业界人士等参会，共享业内最新的前沿研究成果。

◆出版
所有被采纳的论文都将会出版到ACM国际会议论文集上（ISBN：978-1-4503-7231-2, Ei Compendex 和Scopus 检索），
优秀论文将被推荐到发表到期刊 International Journal of Machine Learning and Computing (IJMLC, ISSN: 2010-3700, indexed by Ei Inspec and Scopus)。

◆主旨报告和全体大会报告嘉宾
密苏里科技大学的Keng Siau教授，以及其他2位来自美国以及其他的国家的专家教授届时将进行主旨演讲报告。

◆大会征文主题
会议投稿为全英文投稿，可投递摘要（仅报告）或全文（报告+出版检索），会议主题包含但不仅限于如下主题：

I. Pattern Recognition and Machine Learning

Statistical, syntactic and structural pattern recognition
Machine learning and data mining
Artificial neural networks
Dimensionality reduction and manifold learning
Classification and clustering
Graphical Models for Pattern Recognition
Representation and analysis in pixel/voxel images
Support vector machines and kernel methods
Symbolic learning
Active and ensemble learning
Deep learning
Pattern recognition for big data
Transfer learning
Semi-supervised learning and spectral methods
Model selection
Reinforcement learning and temporal models
Performance Evaluation

II. Computer Vision and Robot Vision

Vision sensors
Early/low-level vision
Biologically motivated vision
Illumination and reflectance modeling
Image based modeling
Physics-based vision
Perceptual organization
Shape modeling and encoding
Computational photography
3D shape recovery
Motion, tracking and video analysis
3D sensors: depth sensors, ToF, Kinect
2D/3D object detection and recognition
Activity and event analysis
Scene understanding
Occlusion and shadow detection
Stereo and multiple view geometry
Reconstruction and camera motion estimation
Vision for graphics
Deep learning
Vision for robotics
Cognitive and embodied visión
Humanoid vision

III. Image, Speech, Signal and Video Processing

Image, Speech, Signal and Video Processing
Image and video analysis and understanding
Sensor array & multichannel signal processing
Segmentation, features and descriptors
Texture and color analysis
Enhancement, restoration and filtering
Coding, compression and super-resolution
Facial expression recognition
Affective computing
Human computer interaction
Human body motion and gesture based interaction
Audio and acoustic processing and analysis
Automatic speech and speaker recognition
Spoken language processing
Speech and natural language based interaction
Group interaction: analysis of verbal and non-verbal communication
Multimedia analysis, indexing and retrieval
Depth & range sensor data processing and analysis

IV. Document Analysis, Biometrics and Pattern Recognition Applications

Character and Text Recognition
Handwriting Recognition
Graphics Recognition
Document Understanding
Gesture and Behavior Analysis
Mixed and Augmented Reality
Face, fingerprint and iris recognition
Other biometrics (gait, soft, speaker, periocular, etc.)
Novel biometrics
Biometric systems and applications
Multi-biometrics
Forensic biometrics and applications
Bioinformatics
Surveillance and Security
Search, Retrieval and Visualization
Art, Cultural Heritage and Entertainment
Industrial image analysis
Human computer interaction
Analysis of humans
Pattern and digital evidence
Performance analysis and enhancement
Applications of pattern recognition to big data

V. Biomedical Image Analysis and Applications

Medical image and signal analysis
Biological image and signal analysis
Modeling, simulation and visualization
Computer-aided detection and diagnosis
Image guidance and robot guidance of interventions
Content based image retrieval and data mining
Medical and biological imaging
Segmentation of biomedical images
Molecular and cellular image analysis
Volumetric image analysis
Deformable object tracking and registration
Computational anatomy and digital human
VR/AR in medical education, diagnosis and surgery
Medical robotics
Imaging and hardware for health care
Brain-computer interfaces
Data mining for biological databases
Algorithms for molecular biology
Deep learning for biomedical image analysis

◆投稿方式
投稿前请访问 https://www.prai.net/sub.html 阅读投稿注意事项并下载模板对稿件进行修改。
投稿请访问在线投稿表单系统进行投稿，链接如下：
https://iconference.mikecrm.com/hGS5Trc

◆注册方式
注册费及注册注意事项及方式请访问https://www.prai.net/reg.html . 请在该页面进行在线注册并交纳注册费，注册成功后会议秘书会以邮件方式提醒您注册成功。
◆联系方式:
PRAI 2019会议秘书
唐诗女士
Email: praiconf@foxmail.com
联系电话: +86-028-87555888
工作时间：周一至周五早上9点30-下午6点整

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