1 citations · 1 across the 4 of their papers we have counts for
5 papers
Heaviside Low-Rank Support Matrix Machine
Xianchao Xiu, Shenghao Sun, Xinrong Li +1
Support matrix machine (SMM) is an emerging classification framework that directly handles matrix-structured observations, thereby avoiding the spatial correlations destroyed by ve…
Federated Structured Sparse PCA for Anomaly Detection in IoT Networks
Chenyi Huang, Xianchao Xiu
Although federated learning has gained prominence as a privacy-preserving framework tailored for distributed Internet of Things (IoT) environments, current federated principal comp…
Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization
Xianchao Xiu, Anning Yang, Chenyi Huang +2
Unsupervised feature selection (UFS) is widely applied in machine learning and pattern recognition. However, most of the existing methods only consider a single sparsity, which mak…
Normal Cones Intersection Rule and Optimality Analysis for Low-Rank Matrix Optimization with Affine Manifolds
Xinrong Li, Ziyan Luo
The low-rank matrix optimization with affine manifold (rank-MOA) aims to minimize a continuously differentiable function over a low-rank set intersecting with an affine manifold. T…
Low-Rank Matrix Optimization Over Affine Set
Xinrong Li, Naihua Xiu, Ziyan Luo
The low-rank matrix optimization with affine set (rank-MOA) is to minimize a continuously differentiable function over a low-rank set intersecting with an affine set. Under some su…