398 citations · 2k across the 69 of their papers we have counts for
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cs.LG2016
Greedy Criterion in Orthogonal Greedy Learning
Lin Xu, Shaobo Lin, Jinshan Zeng +2
Orthogonal greedy learning (OGL) is a stepwise learning scheme that starts with selecting a new atom from a specified dictionary via the steepest gradient descent (SGD) and then bu…
cs.CV2016★ 113 cited
Low-rank Matrix Factorization under General Mixture Noise Distributions
Xiangyong Cao, Qian Zhao, Deyu Meng +2
Many computer vision problems can be posed as learning a low-dimensional subspace from high dimensional data. The low rank matrix factorization (LRMF) represents a commonly utilize…