no code implementations • 18 Feb 2024 • Shaojie Zhang, Yinghui Wang, Bin Nan, Wei Li, Jinlong Yang, Tao Yan, Yukai Wang, Liangyi Huang, Mingfeng Wang, Ibragim R. Atadjanov
To address the issue of increased triangulation uncertainty caused by selecting views with small camera baselines in Structure from Motion (SFM) view selection, this paper proposes a robust error-resistant view selection method.
no code implementations • 15 Feb 2024 • Shaojie Zhang, Yinghui Wang, Bin Nan, Wei Li, Jinlong Yang, Tao Yan, Yukai Wang, Liangyi Huang, Mingfeng Wang, Ibragim R. Atadjanov
To address the issue of feature descriptors being ineffective in representing grayscale feature information when images undergo high affine transformations, leading to a rapid decline in feature matching accuracy, this paper proposes a region feature descriptor based on simulating affine transformations using classification.
1 code implementation • NeurIPS 2023 • Bingqing Hu, Bin Nan
Most work in neural networks focuses on estimating the conditional mean of a continuous response variable given a set of covariates. In this article, we consider estimating the conditional distribution function using neural networks for both censored and uncensored data.
1 code implementation • 16 Dec 2014 • Hai Shu, Bin Nan
In particular, the rates of convergence are obtained for the generalized thresholding estimation of covariance and correlation matrices, and for the constrained $\ell_1$ minimization and the $\ell_1$ penalized likelihood estimation of precision matrix.
1 code implementation • 4 Apr 2014 • Hai Shu, Bin Nan, Robert Koeppe
Traditional voxel-level multiple testing procedures in neuroimaging, mostly $p$-value based, often ignore the spatial correlations among neighboring voxels and thus suffer from substantial loss of power.