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TON
2008
98views more  TON 2008»
15 years 6 months ago
A unified framework for multipath routing for unicast and multicast traffic
We study the problem of load balancing the traffic from a set of unicast and multicast sessions. The problem is formulated as an optimization problem. However, we assume that the g...
Tuna Güven, Richard J. La, Mark A. Shayman, B...
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 4 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
15 years 4 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams
ICASSP
2011
IEEE
14 years 10 months ago
Interference alignment in MIMO cellular networks
We explore the feasibility of linear interference alignment (IA) in MIMO cellular networks. Each base station (BTS) has Nt transmit antennas, each mobile has Nr receive antennas, ...
Binnan Zhuang, Randall A. Berry, Michael L. Honig
ICASSP
2009
IEEE
16 years 1 months ago
Interval consensus: From quantized gossip to voting
We design distributed and quantized average consensus algorithms on arbitrary connected networks. By construction, quantized algorithms cannot produce a real, analog average. Inst...
Florence Bénézit, Patrick Thiran, Ma...