11 citations · 20 across the 15 of their papers we have counts for
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stat.ML2014
Convex Optimization Learning of Faithful Euclidean Distance Representations in Nonlinear Dimensionality Reduction
Chao Ding, Hou-Duo Qi
Classical multidimensional scaling only works well when the noisy distances observed in a high dimensional space can be faithfully represented by Euclidean distances in a low dimen…
math.OC2014★ 2 cited
Spectral Operators of Matrices
Chao Ding, Defeng Sun, Jie Sun +1
The class of matrix optimization problems (MOPs) has been recognized in recent years to be a powerful tool by researchers far beyond the optimization community to model many import…