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CAIP 2019: International Conference on Computer Analysis of Images and Patterns

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CAIP
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截稿日期:
2019-04-01
通知日期:
会议日期:
2019-09-02
会议地点:
Salerno, Italy
届数:
18
ICORE: C   QUALIS: B2   浏览: 31380   关注: 12   参加: 3

会伴指数 (CP-I)

56.7 / 100
全站第 744 名 / 共 5,680 个会议 · 前 14%
学术认可 (35%)
68
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
79
社区关注 (10%)
33
资料公开度 (15%)
25

用到的输入: 收录等级：ICORE C, QUALIS B2 · 有据可查的届次：18 · 在会伴关注它的研究者：12 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 80% —— 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 2026-09-12

征稿

CAIP 2019 (International Conference on Computer Analysis of Images and Patterns) is a ICORE C / QUALIS B2 conference held in Salerno, Italy on 2019-09-02. The paper submission deadline is 2019-04-01.

The scope of CAIP 2015 includes, but not limited to, the following areas: 2D-to-3D 3D TV 3D Vision Applications Approximation methods Big data Biometrics Brain-inspired algorithms Calibration techniques Classification Clustering algorithms Color and texture Complex natural images Data models Defocus deblurring Delineation Depth Dimension reduction Document analysis Edge/contour detection Enhancement of video and still images Eye blink detection Face recognition Feature extraction Feature selection Gaussian processes Gaze estimation Gesture recognition Graph-based Methods Grouping Human pose estimation Image and video indexing and database retrieval Image and video processing Image color analysis Image fusion Image representation Image restoration Image-based modeling Information theory Invariance Kernel methods Keypoint detection Logical Combinatorial Pattern Recognition Machine learning Machine vision applications Medical imaging Mixture models Mobile multimedia Model-based vision approaches Morphology Motion Analysis Motion deblurring Multiclassifier system Natural computation for digital imagery Non-photorealistic animation and modeling Novel algorithms and techniques Object modelling Object recognition Particle filter framework Pattern recognition for natural language processing Pattern recognition in audio signals Pattern recognition in financial data Pattern recognition in non-visual data Pattern recognition on mobile devices Performance evaluation Photometric stereo Pose estimation Predictive models Query processing Range image Reconstruction techniques Search problems Segmentation Semantic image labelling Shape recovery from multiple images Shape representation and analysis Smoothing methods Statistical models Stereo image analysis Structural pattern recognition Surveillance Texture Three-dimensional displays Tracking Trainable features Transforms Uncertainty
由 Dou Sun 最后更新于

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CCF全称影响因子出版商ISSN
Journal of Computational Analysis and ApplicationsSpringer1521-1398
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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