Zhuan Liang

Regularized Optimization on Grassmann Manifold: Theory, Algorithm and Applications

A Regularized Projection Matrix Approximation framework for robust estimation of rank-$K$ projection matrices that substantially improves the recovery accuracy of projection matrices and consistently outperforms conventional spectral projection methods for community detection and clustering under noisy environments.