3 papers
cs.LG2026
Robust Subspace-Constrained Quadratic Models for Low-Dimensional Structure Learning
Zheng Zhai, Xiaohui Li
In this paper, we propose a robust subspace-constrained quadratic model (SCQM) for learning low-dimensional structure from high-dimensional data. Building upon the subspace-constra…
cs.LG2024
Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications
Zheng Zhai, Xiaohui Li
Matrix Factorization has emerged as a widely adopted framework for modeling data exhibiting low-rank structures. To address challenges in manifold learning, this paper presents a s…
cs.LG2024
Regularized Projection Matrix Approximation with Applications to Community Detection
Zheng Zhai, Jialu Xu, Mingxin Wu +1
This paper introduces a regularized projection matrix approximation framework designed to recover cluster information from the affinity matrix. The model is formulated as a project…