462 citations · 1.7k across the 50 of their papers we have counts for
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Approximation of Gram-Schmidt Orthogonalization by Data Matrix
Gen Li, Yuantao Gu
For a matrix with linearly independent columns, this work studies to use its normalization and itself to approximate its orthonormalization $\bf V…
Disciplined Multi-Convex Programming
Xinyue Shen, Steven Diamond, Madeleine Udell +2
A multi-convex optimization problem is one in which the variables can be partitioned into sets over which the problem is convex when the other variables are fixed. Multi-convex pro…
Disciplined Convex-Concave Programming
Xinyue Shen, Steven Diamond, Yuantao Gu +1
In this paper we introduce disciplined convex-concave programming (DCCP), which combines the ideas of disciplined convex programming (DCP) with convex-concave programming (CCP). Co…
Cross Validation in Compressive Sensing and its Application of OMP-CV Algorithm
Jinye Zhang, Laming Chen, Petros T. Boufounos +1
Compressive sensing (CS) is a data acquisition technique that measures sparse or compressible signals at a sampling rate lower than their Nyquist rate. Results show that sparse sig…