no code implementations • 23 Oct 2023 • Yuan Li, Huan Liu, Yubo Tao, Xiangyang He, Haifeng Li, Xiaohu Guo, Hai Lin
Furthermore, the segmentation accuracy is improved by 2. 4%-5. 5% with the increasing volume of training data.
no code implementations • 6 Jul 2022 • Xiangyang He, Yubo Tao, Shuoliu Yang, Haoran Dai, and Hai Lin
Relationships in scientific data, such as the numerical and spatial distribution relations of features in univariate data, the scalar-value combinations' relations in multivariate data, and the association of volumes in time-varying and ensemble data, are intricate and complex.
no code implementations • 19 Aug 2019 • Xiangyang He, Yubo Tao, Qirui Wang, Hai Lin
In this paper, we propose a co-analysis framework based on biclusters, which are two subsets of variables and voxels with close scalar-value relationships, to guide the process of visually exploring multivariate data.
no code implementations • 18 Aug 2019 • Xiangyang He, Yubo Tao, Qirui Wang, Hai Lin
Multivariate spatial data plays an important role in computational science and engineering simulations.