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          第二屆模式識別與人工智能國際會議(PRAI 2019)

          發布時間:2019-05-10 14:51:41

          2019年第二屆模式識別與人工智能國際會議(PRAI 2019)--ACM出版,Ei核心和Scopus檢索

          2019年第二屆模式識別與人工智能國際會議 (PRAI 2019 http://www.prai.net) 將于2019年8月26-28日在浙江溫州肯恩大學舉行。本屆會議由溫州肯恩大學主辦,新加坡光學與光子學學會中國分部及浙江大學聯合協辦。會議誠邀模式識別與人工智能國際各界專家學者、學生、產業界人士等參會,共享業內最新的前沿研究成果。

          ◆出版
          所有被采納的論文都將會出版到ACM國際會議論文集上 (ISBN:978-1-4503-7231-2, Ei Compendex 和Scopus 檢索),
          優秀論文將被推薦到發表到期刊 International Journal of Machine Learning and Computing (IJMLC, ISSN: 2010-3700, indexed by Ei Inspec and Scopus)。

          ◆主旨報告和全體大會報告嘉賓
          密蘇里科技大學的Keng Siau教授,以及其他2位來自美國以及其他的國家的專家教授屆時將進行主旨演講報告。

          ◆大會征文主題
          會議投稿為全英文投稿,可投遞摘要(僅報告)或全文(報告+出版檢索),會議主題包含但不僅限于如下主題:

          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
          投稿前請訪問 http://www.prai.net/sub.html 閱讀投稿注意事項并下載模板對稿件進行修改。
          投稿請訪問在線投稿表單系統進行投稿,鏈接如下:
          http://iconference.mikecrm.com/hGS5Trc

          ◆注冊方式
          注冊費及注冊注意事項及方式請訪問http://www.prai.net/reg.html . 請在該頁面進行在線注冊并交納注冊費,注冊成功后會議秘書會以郵件方式提醒您注冊成功。
          ◆聯系方式:
          PRAI 2019會議秘書
          唐詩女士      
          Email: praiconf@foxmail.com
          聯系電話: +86-028-87555888
          工作時間:周一至周五早上9點30-下午6點整

          會議時間2019-08-26至2019-08-28
          會議地點浙江溫州
          主辦單位PRAI 2019
          聯系人唐詩女士
          電話+86-028-87555888
          Emailpraiconf@foxmail.com

          聲明:

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