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TSP
2010
14 years 4 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
JSAC
2008
111views more  JSAC 2008»
14 years 9 months ago
The end-to-end rate control in multiple-hop wireless networks: Cross-layer formulation and optimal allocation
In this paper, we study the theoretical problem of the end-to-end rate assignment for multi-hop wireless networks. Specifically, we consider the problem of joint congestion control...
Chengnian Long, Bo Li, Qian Zhang, Bin Zhao, Bo Ya...
ICASSP
2011
IEEE
14 years 1 months ago
Robust secondary multicast transmit beamforming for cognitive radio networks under imperfect channel state information
Consider a robust downlink beamforming optimization problem for secondary multicast transmission in a multiple-input multiple-output (MIMO) spectrum sharing cognitive radio (CR) n...
Yongwei Huang, Qiang Li, Wing-Kin Ma, Shuzhong Zha...
CVPR
2008
IEEE
15 years 11 months ago
Probabilistic graph and hypergraph matching
We consider the problem of finding a matching between two sets of features, given complex relations among them, going beyond pairwise. Each feature set is modeled by a hypergraph ...
Ron Zass, Amnon Shashua
INFOCOM
2010
IEEE
14 years 7 months ago
Distributed Dynamic Speed Scaling
In recent years we have witnessed a great interest in large distributed computing platforms, also known as clouds. While these systems offer enormous computing power, they are howe...
Rade Stanojevic, Robert Shorten