Clinton 发表于 2025-3-21 18:49:03
书目名称Logical Foundations for Rule-Based Systems影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0588139<br><br> <br><br>书目名称Logical Foundations for Rule-Based Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0588139<br><br> <br><br>书目名称Logical Foundations for Rule-Based Systems网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0588139<br><br> <br><br>书目名称Logical Foundations for Rule-Based Systems网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0588139<br><br> <br><br>书目名称Logical Foundations for Rule-Based Systems被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0588139<br><br> <br><br>书目名称Logical Foundations for Rule-Based Systems被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0588139<br><br> <br><br>书目名称Logical Foundations for Rule-Based Systems年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0588139<br><br> <br><br>书目名称Logical Foundations for Rule-Based Systems年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0588139<br><br> <br><br>书目名称Logical Foundations for Rule-Based Systems读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0588139<br><br> <br><br>书目名称Logical Foundations for Rule-Based Systems读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0588139<br><br> <br><br>排他 发表于 2025-3-21 21:39:43
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aims to match the surveillance images containing the same person. However, the performance of these methods is usually very sensitive to the change of the hyper-parameters in the clustering methods, such as the maximum distance of the neighbors and the number of clusters, which determine the qualit失败主义者 发表于 2025-3-22 07:18:27
er may be interested in. It plays a crucial role in location-based services. Most existing spatial knowledge modeling methods cannot simultaneously consider spatial locations’ relationship and spatial movement periodicity in check-in sequence. Additionally, these methods model user preference knowleUnsaturated-Fat 发表于 2025-3-22 12:48:08
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re generally similar in contour and lack complete semantic information of the image. Simultaneously, due to the inherent ambiguity of hand-drawn images, there is “one-to-many” category mapping relationship between hand-drawn and natural images. To accurately improve the fine-grained retrieval result不能强迫我 发表于 2025-3-23 04:13:15
n a given video. However, the useful detection and tracklet relationship during the tracking process are not fully explored in most current algorithms and it leads to the accumulation of errors. We introduce a novel Detection Group, which includes the detections within a temporal and spatial thresho该得 发表于 2025-3-23 07:58:22
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