K Weiss, TM Khoshgoftaar, DD Wang - Journal of Big data, 2016 - Springer
Abstract Machine learning and data mining techniques have been used in numerous real- world applications. An assumption of traditional machine learning methodologies is the …
M Wang, W Deng - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
Racial equality is an important theme of international human rights law, but it has been largely obscured when the overall face recognition accuracy is pursued blindly. More facts …
Y Xu, X Fang, J Wu, X Li… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we address the problem of unsupervised domain transfer learning in which no labels are available in the target domain. We use a transformation matrix to transfer both the …
XY Zhang, CL Liu, CY Suen - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
The accuracies for many pattern recognition tasks have increased rapidly year by year, achieving or even outperforming human performance. From the perspective of accuracy …
Human intelligence is the intellectual prowess of humans, which is marked by four basic and important abilities: learning ability, cognition (acquiring and storing knowledge) ability …
M Wang, Y Zhang, W Deng - IEEE transactions on pattern …, 2021 - ieeexplore.ieee.org
Although deep face recognition has achieved impressive progress in recent years, controversy has arisen regarding discrimination based on skin tone, questioning their …
A prevailing problem in many machine learning tasks is that the training (ie, source domain) and test data (ie, target domain) have different distribution [ie, non-independent identical …
In the unsupervised open set domain adaptation (UOSDA), the target domain contains unknown classes that are not observed in the source domain. Researchers in this area aim …