Strategic manipulation of preferences in the rank minimization mechanism
Sign Up to like & getrecommendations! Published in 2024 at "Autonomous Agents and Multi-Agent Systems"
DOI: 10.1007/s10458-024-09676-3
Abstract: We consider one-sided matching problems, where agents are allocated items based on stated preferences. Posing this as an assignment problem, the average rank of obtained matchings can be minimized using the rank minimization (RM) mechanism.… read more here.
Keywords: first order; mechanism; rank minimization; minimization mechanism ... See more keywords
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
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Communications"
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
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Distributed Sensor Networks"
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