会議情報
ICCPR 2023: International Conference on Computing and Pattern Recognition
http://www.iccpr.org/提出日: |
2023-09-14 Extended |
通知日: |
2023-09-20 |
会議日: |
2023-10-27 |
場所: |
Qingdao, China |
年: |
12 |
閲覧: 16667 追跡: 38 出席: 6
論文募集
International Conference on Computing and Pattern Recognition (ICCPR) series held annually to provide a common platform for the cross fertilization of ideas, and for shaping knowledge and scientific achievements by bridging Computing and Pattern Recognition these two important and complementary disciplines into an interactive and attractive forum. Keeping this objective in mind, ICCPR solicits original contributions in the following non exclusive lists of areas: 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 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 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 Deep learning architectures & techniques 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 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
最終更新 Dunn Carl 2023-09-06
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関連仕訳帳
CCF | 完全な名前 | インパクト ・ ファクター | 出版社 | ISSN |
---|---|---|---|---|
c | Soft Computing | 1.63 | Springer | 1432-7643 |
c | ACM Transactions on Computing Education | ACM | 1946-6226 | |
c | Computer Communications | 3.167 | Elsevier | 0140-3664 |
Journal of Graph Algorithms and Applications | Brown University | 1526-1719 | ||
IET Journal on Image Processing | IET | 1751-9659 | ||
b | IEEE Transactions on Cybernetics | 8.803 | IEEE | 2168-2267 |
a | International Journal of Computer Vision | 7.410 | Springer | 0920-5691 |
Computers & Education | 8.538 | Elsevier | 0360-1315 | |
a | ACM Transactions on Computer-Human Interaction | ACM | 1073-0516 | |
International Journal of Computer Graphics & Animation | AIRCC | 2231-3591 |
完全な名前 | インパクト ・ ファクター | 出版社 |
---|---|---|
Soft Computing | 1.63 | Springer |
ACM Transactions on Computing Education | ACM | |
Computer Communications | 3.167 | Elsevier |
Journal of Graph Algorithms and Applications | Brown University | |
IET Journal on Image Processing | IET | |
IEEE Transactions on Cybernetics | 8.803 | IEEE |
International Journal of Computer Vision | 7.410 | Springer |
Computers & Education | 8.538 | Elsevier |
ACM Transactions on Computer-Human Interaction | ACM | |
International Journal of Computer Graphics & Animation | AIRCC |
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