会议信息

ICAIPR 2021: International Conference on Artificial Intelligence and Pattern Recognition

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截稿日期:
2021-05-15 Extended
通知日期:
2021-06-01
会议日期:
2021-06-25
会议地点:
Beijing, China
浏览: 12676   关注: 5   参加: 0

会伴指数 (CP-I)

43.8 / 100
全站第 3,293 名 / 共 5,680 个会议 · 前 58%

计算机视觉与模式识别 第 168 / 243 人工智能与机器学习 第 396 / 739

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
26
资料公开度 (15%)
25

用到的输入: 在会伴关注它的研究者：5 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-11

征稿

ICAIPR 2021 (International Conference on Artificial Intelligence and Pattern Recognition) is an academic conference held in Beijing, China on 2021-06-25. The paper submission deadline is 2021-05-15 (extended). Acceptance notifications are sent on 2021-06-01.

Topics of interest for submission include, but are not limited to: 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 Depth & range sensor data processing and analysis Human computer interaction Coding, compression and super-resolution 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 Deep learning Vision for robotics 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 Biomedical Image Analysis and Applications Medical image and signal analysis Biological image and signal analysis Image, Speech, Signal and Video Processing Image and video analysis and understanding 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 Automatic speech and speaker recognition
由 Hana Liu 最后更新于

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