3 citations · 3 across the 3 of their papers we have counts for
3 papers
math.NA2025
Tensor robust principal component analysis via the tensor nuclear over Frobenius norm
Huiwen Zheng, Yifei Lou, Guoliang Tian +1
We address the problem of tensor robust principal component analysis (TRPCA), which entails decomposing a given tensor into the sum of a low-rank tensor and a sparse tensor. By lev…
cs.CV2024★ 3 cited
Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data
Jiayi Li, Xile Zhao, Jianli Wang +2
Recently, implicit neural representations (INRs) have attracted increasing attention for multi-dimensional data recovery. However, INRs simply map coordinates via a multi-layer per…
stat.ML2023
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
Xingdong Feng, Xin He, Caixing Wang +2
Covariate shift occurs prevalently in practice, where the input distributions of the source and target data are substantially different. Despite its practical importance in various…