Augmented Lagrangian alternating direction method for low-rank minimization via non-convex approximation
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DOI: 10.1007/s11760-017-1084-9
Abstract: This paper concerns the low-rank minimization problems which consist of finding a matrix of minimum rank subject to linear constraints. Many existing approaches, which used the nuclear norm as a convex surrogate of the rank… read more here.
Keywords: rank minimization; non convex; low rank; augmented lagrangian ... See more keywords
Multi-Sender Index Coding for Collaborative Broadcasting: A Rank-Minimization Approach
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DOI: 10.1109/tcomm.2018.2877392
Abstract: We consider a Multi-Sender Unicast Index-Coding (MSUIC) problem, where in a broadcast network, multiple senders collaboratively send distinct messages to multiple receivers, each having some subset of the messages a priori. The aim is to… read more here.
Keywords: multi sender; rank minimization; index;
Rank Minimization for Snapshot Compressive Imaging
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DOI: 10.1109/tpami.2018.2873587
Abstract: Snapshot compressive imaging (SCI) refers to compressive imaging systems where multiple frames are mapped into a single measurement, with video compressive imaging and hyperspectral compressive imaging as two representative applications. Though exciting results of high-speed… read more here.
Keywords: imaging; sci; snapshot compressive; compressive imaging ... See more keywords
Spatial–degree of freedom improvement of interference alignment in multi-input, multi-output interference channels
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DOI: 10.1177/1550147716686351
Abstract: As we know, the degree of freedom approximates the capacity of a network. To improve the achievable degree of freedom in the K-user interference network, we propose a rank minimization interference minimization algorithm. Unlike the… read more here.
Keywords: minimization; interference; degree freedom; rank minimization ... See more keywords