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» Properties of input-consuming derivations
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ML
2010
ACM
185views Machine Learning» more  ML 2010»
15 years 1 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
SIAMMA
2010
81views more  SIAMMA 2010»
15 years 1 months ago
Heteroclinic Travelling Waves in Convex FPU-Type Chains
We consider infinite FPU-type atomic chains with general convex potentials and study the existence of monotone fronts that are heteroclinic travelling waves connecting constant asy...
Michael Herrmann, Jens D. M. Rademacher
TON
2010
198views more  TON 2010»
15 years 1 months ago
On Wireless Scheduling Algorithms for Minimizing the Queue-Overflow Probability
Abstract-- In this paper, we are interested in wireless scheduling algorithms for the downlink of a single cell that can minimize the queue-overflow probability. Specifically, in a...
V. J. Venkataramanan, Xiaojun Lin
TSP
2010
15 years 1 months ago
Block-sparse signals: uncertainty relations and efficient recovery
We consider efficient methods for the recovery of block-sparse signals--i.e., sparse signals that have nonzero entries occurring in clusters--from an underdetermined system of line...
Yonina C. Eldar, Patrick Kuppinger, Helmut Bö...
CORR
2011
Springer
183views Education» more  CORR 2011»
15 years 1 months ago
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
— We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally corre...
Zhilin Zhang, Bhaskar D. Rao