Robust Subspace Discovery (1 paper)
X. Wang, Z. Zhang, Y. Ma, X. Bai, W. Liu, Z. Tu, "Robust Subspace Discovery via Relaxed Rank Minimization", Neural Computation, 2013.
Robust Subspace Recovery (4 papers)
X. Bian, H. Krim, “Robust Subspace Recovery via Dual Sparsity Pursuit”, Preprint, March 2014.
X. Bian, H. Krim, "Robust Subspace Recovery via Bi-Sparsity Pursuit", Preprint, April 2014.
L. Thomaz, E. Jardin, A. da Silva, E. da Silva, S. Netto, H. Krim, "Anomaly Detection in Moving-Camera Video Sequences using Principal Subspace Analysis", IEEE Transactions on Circuits and Systems I, 2017.
L. Thomaz, A. da Silva, E. da Silva, S. Netto, H. Krim, "Detection of Abandoned Objects using Robust Subspace Recovery with Intrinsic Video Alignment", IEEE International Conference on Circuits and Systems, 2017.
Robust Orthonormal Subspace Learning (2 papers)
X. Shu. Advanced imaging via multiplexed sensing and compressive sensing. PhD Thesis,University of Illinois at Urbana-Champaign, 2013.
X. Shu, F. Porikli, N. Ahuja, "Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-rank Matrices", CVPR 2014, 2014.
Robust Orthogonal Complement Principal Component Analysis (1 paper)
Y. She, S. Li, D. Wu,"Robust Orthogonal Complement Principal Component Analysis", Preprint, 2014.
Robust Subspace Recovery via sparse Latent Low-rank representation (1 paper)
P. Li, J. Bu, J. Yu, C. Chen, “Towards robust subspace recovery via sparsity-constrained latent low-rank representation”, Journal of Visual Communication and Image Representation", June 2015.