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PRAI--ACM, Ei and Scopus 2019 : ACM--2019 the 2nd International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2019)--Ei Compendex, Scopus | |||||||||||
Link: http://www.prai.net/ | |||||||||||
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Call For Papers | |||||||||||
ACM--2019 the 2nd International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2019)--Ei Compendex, Scopus
2019 the 2nd International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2019) (http://www.prai.net/) will be held in Wenzhou, Zhejiang, China at Wenzhou-Kean University during August 26-28th, 2019. The PRAI 2019 is hosted by Wenzhou-Kean University, supported by OPSS-China, Zhejiang University and other organizations and universities. PRAI 2019 will bring together experts from industry, governments and academia, experienced in engineering, design and research to share the leading-edge findings. ◆Publication All accepted papers will be published in International Conference Proceedings Series by ACM (ISBN: 978-1-4503-7231-2), indexed by Ei Compendex and Scopus. Qualified papers will be recommanded to be published on the International Journal of Machine Learning and Computing (IJMLC, ISSN: 2010-3700), indexed by Ei Inspec and Scopus. ◆Keynote &Plenary Speakers Prof. Keng Siau from Missouri University of Science and Technology, USA, and other three excellent professors from USA and other countries will address the keynote speeches. ◆CFP: The PRAI 2019 solicits contributions of abstracts, full papers and posters that address themes and topics of the conference. The topics of interest include, but not limited to the following: 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 vision 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 ◆Submission Method Make sure you have read the information on http://www.prai.net/sub.html before submission. Please submit your work via the following online submission system http://iconference.mikecrm.com/hGS5Trc ◆Registration Method For registration, please visit http://www.prai.net/reg.html . You can simply fill the register form and make the payment online. ◆Contact: PRAI 2019 Secretary, Maggie Tang Email: praiconf@foxmail.com Tel: +86-028-87555888 (English & Chinese) Monday-Friday: 9:30am-6:00pm GMT+8 |
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