Robust Regression for Image Alignment via Subspace Recovery Techniques. - Habte Tadesse Likassa; Wen-Hsien Fang (ICNCC, 2018)

Robust Image Recovery via Affine Transformation and L2, 1 Norm. - Habte Tadesse Likassa; Wen-Hsien Fang; Jenq-Shiou Leu (IEEE Access, 2019)

New Robust Principal Component Analysis for Joint Image Alignment and Recovery via Affine Transformations and Frobenius and L2, 1 Norms. - Habte Tadesse Likassa (Int. J. Math. Math. Sci., 2020)

New Robust Regularized Shrinkage Regression for High-Dimensional Image Recovery and Alignment via Affine Transformation and Tikhonov Regularization. - Habte Tadesse Likassa; Wen Xian; Xuan Tang (Int. J. Math. Math. Sci., 2020)

New Robust PCA for Outliers and Heavy Sparse Noises' Detection via Affine Transformation, the L ∗ , w and L 2, 1 Norms, and Spatial Weight Matrix in High-Dimensional Images: From the Perspective of Signal Processing. - Peidong Liang; Habte Tadesse Likassa; Chentao Zhang; Jielong Guo (Int. J. Math. Math. Sci., 2021)

Robust PCA with Lw,∗ and L2,1 Norms: A Novel Method for Low-Quality Retinal Image Enhancement. - Habte Tadesse Likassa; Ding-Geng Chen; Kewei Chen 001; Yalin Wang 001; Wenhui Zhu (J. Imaging, 2024)