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[交流] 【2019-06-25】【Ei/Scopus】2019年第二屆模式識(shí)別與人工智能國(guó)際會(huì)議(PRAI 2019)

會(huì)議城市:

浙江溫州肯恩大學(xué)

是否Ei/ISTP收錄:

Ei收錄

截稿日期:

2019年6月25日

2019年第二屆模式識(shí)別與人工智能國(guó)際會(huì)議(PRAI 2019)--ACM出版，Ei核心和Scopus檢索

2019年第二屆模式識(shí)別與人工智能國(guó)際會(huì)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(huì)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(huì)中國(guó)分部及浙江大學(xué)聯(lián)合協(xié)辦。會(huì)議誠(chéng)邀模式識(shí)別與人工智能國(guó)際各界專家學(xué)者、學(xué)生、產(chǎn)業(yè)界人士等參會(huì)，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(huì)出版到ACM國(guó)際會(huì)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(bào)告和全體大會(huì)報(bào)告嘉賓
密蘇里科技大學(xué)的Keng Siau教授，以及其他2位來(lái)自美國(guó)以及其他的國(guó)家的專家教授屆時(shí)將進(jìn)行主旨演講報(bào)告。

◆大會(huì)征文主題
會(huì)議投稿為全英文投稿，可投遞摘要（僅報(bào)告）或全文（報(bào)告+出版檢索），會(huì)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(qǐng)?jiān)L問(wèn) https://www.prai.net/sub.html 閱讀投稿注意事項(xiàng)并下載模板對(duì)稿件進(jìn)行修改。
投稿請(qǐng)?jiān)L問(wèn)在線投稿表單系統(tǒng)進(jìn)行投稿，鏈接如下：
https://iconference.mikecrm.com/hGS5Trc

◆注冊(cè)方式
注冊(cè)費(fèi)及注冊(cè)注意事項(xiàng)及方式請(qǐng)?jiān)L問(wèn)https://www.prai.net/reg.html . 請(qǐng)?jiān)谠擁?yè)面進(jìn)行在線注冊(cè)并交納注冊(cè)費(fèi)，注冊(cè)成功后會(huì)議秘書(shū)會(huì)以郵件方式提醒您注冊(cè)成功。
◆聯(lián)系方式:
PRAI 2019會(huì)議秘書(shū)
唐詩(shī)女士
Email: praiconf@foxmail.com
聯(lián)系電話: +86-028-87555888
工作時(shí)間：周一至周五早上9點(diǎn)30-下午6點(diǎn)整

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24小時(shí)熱門版塊排行榜

[交流] 【2019-06-25】【Ei/Scopus】2019年第二屆模式識(shí)別與人工智能國(guó)際會(huì)議(PRAI 2019)

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