与生
发表于 2025-3-21 17:01:09
书目名称Image and Graphics Technologies and Applications影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0461493<br><br> <br><br>
Omniscient
发表于 2025-3-21 21:50:42
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Intersect
发表于 2025-3-22 02:55:55
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opalescence
发表于 2025-3-22 05:44:10
Communications in Computer and Information Sciencehttp://image.papertrans.cn/i/image/461493.jpg
NOVA
发表于 2025-3-22 11:15:10
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我要沮丧
发表于 2025-3-22 16:39:32
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贝雷帽
发表于 2025-3-22 21:03:39
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压倒
发表于 2025-3-22 21:52:33
Accurate Estimation of Motion Blur Kernel Based on Genetic Algorithmsre developed for optimizing motion blur kernel. Effective fitness function and genetic operators are designed to ensure the convergence of the optimization process. Several traditional methods are compared with the proposed method. Real aerial image data sets are used to test the performance of thes
织布机
发表于 2025-3-23 02:50:18
Graph Embedding Discriminant Analysis and Semi-Supervised Extension for Face Recognitiones in practical applications and thus degrades the discriminant performance, a novel graph embedding discriminant analysis method and its semi-supervised extension for face recognition is proposed in this paper. It uses the intraclass samples and their within-class mean to construct the intrinsic gr
子女
发表于 2025-3-23 06:37:14
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