{cs.CV}, url={https://arxiv.org/abs/2410.12628}, } @misc{wang2024unimernet, title={UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition}, author={Bin Wang and Zhuangcheng Gu and Chao Xu and Bo Zhang and Botian Shi and Conghui He}, year={2024}, eprint={...
For example, MuSiC2 and MutSig2CV are highly correlated, as are CompositeDriver and OncodriveFML (Figure S2G). For such tool pairs, we actually add the union of their scores, S1 U S2, to the running total in the form of(Eq. 1)S1∪S2=S1+S2−S1∩S2=S1+S2−ϱ2S1+S2=1−...
However, a critical point with respect to these data sets, besides the small sample sizes, is the lack of information regarding the patency of the contralateral vas deferens. Congenital bilateral epididymal obstruction and normal vasa CFTR mutations have been implicated in bilateral epididymal ...
The technique has been evaluated on CVL (Computer Vision Laboratory) database, and it has been found that the edge-based detection approach achieved more accurate results than template-based. The advantage is that their method is simple and easy to implement. The disadvantage of the skin-based...
differential expression analysis so that low intensity (below background) and low quality probes were not considered in the analysis. Final QA/QC involved CV plots, heatmaps, cluster plots, scatter plots and PCA as needed in order to assess if there were sample outliers or additional batch ...
Final QA/QC involved CV plots, heatmaps, cluster plots, scatter plots and PCA as needed in order to assess if there were sample outliers or additional batch effects. Differential expression analysis was performed by comparing infected samples to time-matched mock- infected controls, based on a ...
Briefly, 10 ml of blood was diluted with an equal volume of PBS, loaded carefully onto 5 ml of LymphoPrep (sample to lymphoprep media, 2:1) and cen- trifuged at 600 × g for 20 minutes. The thin PBMC layer at the sample/medium interface was carefully aspirated and ...
paper: http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf github: https://github.com/niallmcl/Recurrent-Convolutional-Video-ReID Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Ap...
Because of the performance-boosting characteristics of transformers, it has become the model of choice in NLP, CV, and the cross-modal tasks relating to the combination of these two world- leading realms. On the other hand, without transformers, self-attention in the recurrent architectures ...
Deep Transfer Network: Unsupervised Domain Adaptation, arXiv:1503.00591v1 [cs.CV] 2 Mar 2015. Google Scholar Zhang et al., 2019 Zhang, L., Luo, Z., Chai, R., Arefan, D., Sumkin, J., Wu, S. 2019. Deep-learning method for tumor segmentation in breast DCE-MRI. In proceedings of...