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TSP
2008
122views more  TSP 2008»
15 years 7 months ago
Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups
The problem of transmit beamforming to multiple cochannel multicast groups is considered, when the channel state is known at the transmitter and from two viewpoints: minimizing tot...
Eleftherios Karipidis, Nikos D. Sidiropoulos, Zhi-...
TSP
2008
124views more  TSP 2008»
15 years 7 months ago
Robust Beamforming via Worst-Case SINR Maximization
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic...
ALGORITHMICA
1998
184views more  ALGORITHMICA 1998»
15 years 6 months ago
Approximation Algorithms for Connected Dominating Sets
The dominatingset problemin graphs asks for a minimumsize subset of vertices with the followingproperty: each vertex is required to either be in the dominating set, or adjacent to...
Sudipto Guha, Samir Khuller
AUTOMATICA
1999
119views more  AUTOMATICA 1999»
15 years 6 months ago
Robust L2-gain control for nonlinear systems with projection dynamics and input constraints: an example from traffic control
We formulate the L2-gain control problem for a general nonlinear, state-space system with projection dynamics in the state evolution and hard constraints on the set of admissible ...
Joseph A. Ball, Martin V. Day, Tungsheng Yu, Pushk...
JMLR
2010
135views more  JMLR 2010»
15 years 5 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...