no code implementations • 15 Oct 2017 • Haipeng Zeng, Hammad Haleem, Xavier Plantaz, Nan Cao, Huamin Qu
Often, it is difficult to explore the relationships between the learned parameters and the model performance due to a large number of parameters and different random initializations.
no code implementations • 14 May 2019 • Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao
The increasing accessibility of data provides substantial opportunities for understanding user behaviors.
no code implementations • 29 Jul 2019 • Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu
A suite of visualizations is designed to illustrate the dynamics of city segmentation and the corresponding interactions are added to support the exploration of the segmentation patterns over time.
no code implementations • 1 Sep 2020 • Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao
Unfortunately, recovering causalities from observational event sequences is challenging, as the heterogeneous and high-dimensional event variables are often connected to rather complex underlying event excitation mechanisms that are hard to infer from limited observations.
no code implementations • 29 Sep 2021 • Yilin Wang, Nan Cao, Teng Zhang, Hai Jin
Optimal margin Distribution Machine (ODM), a newly proposed statistical learning framework rooting in the novel margin theory, demonstrates better generalization performance than the traditional large margin based counterparts.
2 code implementations • 8 May 2023 • Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin
Optimal margin Distribution Machine (ODM) is a newly proposed statistical learning framework rooting in the novel margin theory, which demonstrates better generalization performance than the traditional large margin based counterparts.
1 code implementation • 15 Feb 2021 • Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He
For example, given the diagnostic result that a model provided based on the X-ray images of a patient at different poses, the doctor needs to know why the model made such a prediction.
1 code implementation • ICCV 2023 • Nanxuan Zhao, Shengqi Dang, Hexun Lin, Yang Shi, Nan Cao
The development of face editing has been boosted since the birth of StyleGAN.
1 code implementation • 7 Aug 2019 • Danqing Shi, Yang Shi, Xinyue Xu, Nan Chen, Siwei Fu, Hongjin Wu, Nan Cao
A chart sequence is used to describe a series of visualization charts generated in the exploratory analysis by data analysts.