Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Rongguang Ye"'
Publikováno v:
PLoS ONE, Vol 17, Iss 3, p e0265633 (2022)
The present research reports on the use of data mining techniques for differentiating between translated and non-translated original Chinese based on monolingual comparable corpora. We operationalized seven entropy-based metrics including character,
Externí odkaz:
https://doaj.org/article/ee22820edc244b39a8bcbca3ba0a5090
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2677:721-737
The blocks relocation problem (BRP) is a well known and important combinatorial optimization problem, in which the initial storage state and retrieval priority of containers are known, and the containers should be picked up in the retrieval order wit
Publikováno v:
Journal of Circuits, Systems and Computers. 32
Recently, deep neural networks have achieved remarkable progress in class balancing instance segmentation. However, most applications in the real world have a long-tailed distribution, i.e., limited training examples in the majority of classes. The l
Autor:
Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng
Previous knowledge distillation (KD) methods for object detection mostly focus on feature imitation instead of mimicking the prediction logits due to its inefficiency in distilling the localization information. In this paper, we investigate whether l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b4207d618da56507a868fac94debd1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031208614
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::059711ce556017934bd97dbfd68d0e33
https://doi.org/10.1007/978-3-031-20862-1_23
https://doi.org/10.1007/978-3-031-20862-1_23
Publikováno v:
Social Robotics ISBN: 9783031246661
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3f9f60173643a01527727b93c127e08
https://doi.org/10.1007/978-3-031-24667-8_38
https://doi.org/10.1007/978-3-031-24667-8_38
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
2021 IEEE International Conference on Robotics and Biomimetics (ROBIO).
In this study, we explored a stable and explainable model in the detection of financial fraud. To effectively handle imbalanced datasets, we selected the Smote oversampling algorithm with the highest AUC value and compared it with Borderline Smote an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f34907111a8d96fc34fd8faf4a440c32
https://doi.org/10.21203/rs.3.rs-640038/v1
https://doi.org/10.21203/rs.3.rs-640038/v1
Autor:
Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng
Knowledge distillation (KD) has witnessed its powerful capability in learning compact models in object detection. Previous KD methods for object detection mostly focus on imitating deep features within the imitation regions instead of mimicking class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec2cd514adf6bc66533536d185a99e7e
http://arxiv.org/abs/2102.12252
http://arxiv.org/abs/2102.12252