Wilder 发表于 2025-3-21 16:32:50
书目名称Advances in Visual Computing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0150117<br><br> <br><br>书目名称Advances in Visual Computing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0150117<br><br> <br><br>书目名称Advances in Visual Computing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0150117<br><br> <br><br>书目名称Advances in Visual Computing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0150117<br><br> <br><br>书目名称Advances in Visual Computing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0150117<br><br> <br><br>书目名称Advances in Visual Computing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0150117<br><br> <br><br>书目名称Advances in Visual Computing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0150117<br><br> <br><br>书目名称Advances in Visual Computing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0150117<br><br> <br><br>书目名称Advances in Visual Computing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0150117<br><br> <br><br>书目名称Advances in Visual Computing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0150117<br><br> <br><br>happiness 发表于 2025-3-22 00:17:13
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Robust Incremental Hidden Conditional Random Fields for Human Action Recognitiona robust mixture of Student’s .-distributions is imposed as a regularizer to the parameters of the model. The experimental results on human action recognition show that RI-HCRF successfully estimates the number of hidden states and outperforms all state-of-the-art models.轻浮女 发表于 2025-3-22 10:08:30
Conservation and the Common Good,ety of automatic registration methods, and evaluate algorithm performance in the context of serial image registration. We find that intensity-based methods are consistent in performance, while feature-based methods can perform better, but are also more variable in success. Ultimately a combined algominaret 发表于 2025-3-22 14:50:37
Rare and Endangered Plants in Chinauomotor control of its eyes, head, and four limbs to perform tasks involving the foveation and visual pursuit of target objects coupled with visually-guided reaching actions to intercept the moving targets.有害处 发表于 2025-3-22 20:58:32
Cristiana Nunes,Paulina Faria,Nuno Garciastage, which outperforms state-of-the-art results concerning the trade-off between accuracy and dimensionality of the final video representation. Also, the relevance analysis allows to increase the video data interpretability, by ranking trajectory-aligned descriptors according to their importance tBATE 发表于 2025-3-22 21:54:10
Cristiana Nunes,Paulina Faria,Nuno Garciaa robust mixture of Student’s .-distributions is imposed as a regularizer to the parameters of the model. The experimental results on human action recognition show that RI-HCRF successfully estimates the number of hidden states and outperforms all state-of-the-art models.coagulate 发表于 2025-3-23 03:54:11
Rotation Symmetry Object Classification Using Structure Constrained Convolutional Neural Network: rotation invariant convolution (RI-CONV) layer and symmetry structure constrained convolution (SSC-CONV) layer. Proposed network learns structural characteristic from image samples regardless of their appearance diversity. Evaluation is conducted on 32,000 images (after augmentation) of our rotation symmetry classification data set.Bumble 发表于 2025-3-23 07:58:34
A Hough Space Feature for Vehicle Detection angle. To evaluate the performance of the proposed feature, a Neural Network pattern recognition classifier is employed to classify vehicle images and non-vehicle samples. The success rate is validated via various imaging environment (lighting, distance to camera, view angle, and incompleteness) for different vehicle models.