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TSP
2010
13 years 2 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»
13 years 7 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
12 years 11 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
14 years 9 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
13 years 5 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