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【2019-06-25】【Ei/Scopus】2019年第二屆模式識別與人工智能國際會議(PRAI 2019)
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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 https://www.prai.net) 將于2019年8月26-28日在浙江溫州肯恩大學(xué)舉行。本屆會議由溫州肯恩大學(xué)主辦,新加坡光學(xué)與光子學(xué)學(xué)會中國分部及浙江大學(xué)聯(lián)合協(xié)辦。會議誠邀模式識別與人工智能國際各界專家學(xué)者、學(xué)生、產(chǎn)業(yè)界人士等參會,共享業(yè)內(nèi)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(yōu)秀論文將被推薦到發(fā)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(xué)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 https://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(tǒng)進行投稿,鏈接如下: https://iconference.mikecrm.com/hGS5Trc ◆注冊方式 注冊費及注冊注意事項及方式請訪問https://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(lián)系方式: PRAI 2019會議秘書 唐詩女士 Email: praiconf@foxmail.com 聯(lián)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 |
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