4 papers · 1 filter
Hyperspectral Anomaly Detection via Group Sparse Low-Rank Tensor Factorization With Automatic Anomaly Grouping
Quan Yu, Yu-Hong Dai, Xiongjun Zhang
Low-rank tensor modeling has become an effective tool for hyperspectral anomaly detection. However, existing methods still suffer from high computational cost and limited flexibili…
A Multi-View Coupled Tensor Decomposition for Lightweight Online Adaptive Traffic Prediction
Quan Yu, Jie Ni, Yu-Hong Dai +1
Accurate online traffic prediction is essential for intelligent transportation systems, where forecasting must be performed continuously under imperfect sensing conditions. Missing…
A Multiscale Primal-Dual Interior-Point Relaxation Method for Large-Scale Optimal Transport Problems
Shengyu Sun, Rui-Jin Zhang, Ruoyu Diao +1
Large-scale optimal transport (OT) problems involve a vast number of transport variables, leading to prohibitive memory and computational costs. To address these challenges, we pro…
A primal--dual interior-point method for nonsymmetric conic optimization with conjugate-free scaling
Rui-Jin Zhang, Wenhao Fu, Yu-Hong Dai
We develop a primal--dual interior-point method for nonsymmetric conic optimization based on a conjugate-free scaling matrix. The scaling is obtained from a single-secant BFGS upda…