A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition

By Yong Xu, David Dapeng Zhang, Jian Yang, Jing-yu Yang. IEEE transactions on circuits and systems for video technology (Print), 2011

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Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach (2018, background): “Further studies [4, 27, 24, 23] on face recognition with SRC have also been conducted.”
Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking (2018, result): “This selection strategy has been commonly used in many previous studies [75], [76].”
Two-stage Image Classification Supervised by a Single Teacher Single Student Model (2019, methodology): “Two-stage methods have been popular for a long time [5-7].”
A Survey of Sparse Representation: Algorithms and Applications (2015, methodology): “A typic al and representative local sparse representation methods is the two-phase test sample sparse representation (TPTSR) metho d [9].”