ornithology
发表于 2025-3-28 18:05:28
,An Investigation of the Effectiveness of Template Protection Methods on Protecting Privacy During I detection model. Eventually, during the spoof detection phase, protected templates are used as input, rather than the original iris images. Experiments conducted on CASIA-Syn and CASIA-Interval datasets demonstrate that the application of iris template protection techniques to the spoof detection m
obsession
发表于 2025-3-28 22:12:46
,Stock Volatility Prediction Based on Transformer Model Using Mixed-Frequency Data,s part of the training data. Our experiments show that this model outperforms the baselines in terms of mean square error. The adaption of both types of data under Transformer model significantly reduces the mean square error from 1.00 to 0.86.
jeopardize
发表于 2025-3-29 01:46:45
,An Investigation of the Effectiveness of Template Protection Methods on Protecting Privacy During I detection model. Eventually, during the spoof detection phase, protected templates are used as input, rather than the original iris images. Experiments conducted on CASIA-Syn and CASIA-Interval datasets demonstrate that the application of iris template protection techniques to the spoof detection m
Panacea
发表于 2025-3-29 04:34:00
http://reply.papertrans.cn/103/10217/1021654/1021654_44.png
Radiculopathy
发表于 2025-3-29 11:10:58
,Stock Volatility Prediction Based on Transformer Model Using Mixed-Frequency Data,s part of the training data. Our experiments show that this model outperforms the baselines in terms of mean square error. The adaption of both types of data under Transformer model significantly reduces the mean square error from 1.00 to 0.86.
罗盘
发表于 2025-3-29 14:13:18
http://reply.papertrans.cn/103/10217/1021654/1021654_46.png
清楚
发表于 2025-3-29 18:10:54
http://reply.papertrans.cn/103/10217/1021654/1021654_47.png
llibretto
发表于 2025-3-29 22:04:43
http://reply.papertrans.cn/103/10217/1021654/1021654_48.png
Climate
发表于 2025-3-30 03:13:57
,A Multi-teacher Knowledge Distillation Framework for Distantly Supervised Relation Extraction with rature regulation (FTR) to adjust the temperature assigned to each training instance, so as to dynamically capture local relations between instances. Furthermore, we introduce information entropy of hidden layers to gain stable temperature calculations. Finally, we propose multi-view knowledge disti
PAGAN
发表于 2025-3-30 04:16:42
,PAEE: Parameter-Efficient and Data-Effective Image Captioning Model with Knowledge Prompter and Croed models and similar approaches, while reducing the number of trainable parameters. We design two new datasets to explore the data utilization ability of PAEE and discover that it can effectively use new data and achieve domain transfer without any training or fine-tuning. Additionally, we introduc