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CCPR 2014 : Chinese Conference on Pattern Recognition

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Link: http://eeit.hnu.cn/ccpr2014/en/index.html
 
When Nov 17, 2014 - Nov 19, 2014
Where changsha
Abstract Registration Due May 30, 2014
Submission Deadline Jul 15, 2014
Notification Due Jul 15, 2014
Final Version Due Aug 10, 2014
Categories    pattern recognition   image processing   computer vision
 

Call For Papers

All submissions should be written in English (presentation at the conference can be given in Chinese). All accepted papers will be published in the series of CCIS of Springer, and indexed by EI and ISTP subject to examination.

Topics include, but are not limited to:

Fundamentals of Pattern Recognition
Statistical and structural pattern recognition, neural network, kernel methods, feature extraction and selection, unsupervised learning, clustering, model selection and adaptation, semi-supervised learning, etc.

Image and Video Processing
Image processing and enhancement, image and video segmentation, image feature extraction, content based image/video retrieval, information hiding and digital watermark, etc.

Computer Vision
Visual information processing model, scene analysis, stereo vision, object detection and recognition, moving object detection and tracking, action analysis and recognition, video semantic understanding, etc.

Speech, Language, Multimedia and Application
Speech and speaker recognition, text analysis and retrieval, character recognition and document analysis, medical image processing, remote sensing image analysis, biometric identification, multi-modality based human-computer interaction, multimedia analysis and retrieval, industrial application, etc.

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CVPR 2017   Computer Vision and Pattern Recognition
PReMI 2017   Seventh International Conference on Pattern Recognition and Machine Intelligence
WACV 2017   IEEE Winter Conference on Applications of Computer Vision
IWPR-SPIE 2017   2017 the Second International Workshop on Pattern Recognition (IWPR 2017)--Ei, Scopus and ISI
ICIVC 2017   2nd International Conference on Image, Vision and Computing
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