2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2023
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case
Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng +5
Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges in volume and variety. In that contex…
cs.CV2020★ 2 cited
More Information Supervised Probabilistic Deep Face Embedding Learning
Ying Huang, Shangfeng Qiu, Wenwei Zhang +2
Researches using margin based comparison loss demonstrate the effectiveness of penalizing the distance between face feature and their corresponding class centers. Despite their pop…
stat.ML2017★ 1 cited
Maximum Margin Principal Components
Xianghui Luo, Robert J. Durrant
Principal Component Analysis (PCA) is a very successful dimensionality reduction technique, widely used in predictive modeling. A key factor in its widespread use in this domain is…