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://figure.impactfactor.cn/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://figure.impactfactor.cn/ifr/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications网络公开度<br> http://figure.impactfactor.cn/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://figure.impactfactor.cn/atr/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications被引频次<br> http://figure.impactfactor.cn/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://figure.impactfactor.cn/tcr/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications年度引用<br> http://figure.impactfactor.cn/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://figure.impactfactor.cn/iir/?ISSN=BK0461493<br><br> <br><br>书目名称Image and Graphics Technologies and Applications读者反馈<br> http://figure.impactfactor.cn/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://figure.impactfactor.cn/5yr/?ISSN=BK0461493<br><br> <br><br>Omniscient 发表于 2025-3-21 21:50:42
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/i/image/461493.jpgNOVA 发表于 2025-3-22 11:15:10
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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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