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ICASSP
2011
IEEE
13 years 1 months ago
A Lagrangian dual relaxation approach to ML MIMO detection: Reinterpreting regularized lattice decoding
This paper describes a new approximate maximum-likelihood (ML) MIMO detection approach by studying a Lagrangian dual relaxation (LDR) of ML. Unlike many existing relaxed ML method...
Jiaxian Pan, Wing-Kin Ma
CEC
2010
IEEE
13 years 1 months ago
Co-evolutionary search path planning under constrained information-sharing for a cooperative unmanned aerial vehicle team
—Mobile cooperative sensor networks are increasingly used for surveillance and reconnaissance tasks to support domain picture compilation. However, efficient distributed informat...
Jean Berger, Jens Happe
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
13 years 1 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
TOG
2012
215views Communications» more  TOG 2012»
12 years 9 days ago
Dual loops meshing: quality quad layouts on manifolds
We present a theoretical framework and practical method for the automatic construction of simple, all-quadrilateral patch layouts on manifold surfaces. The resulting layouts are c...
Marcel Campen, David Bommes, Leif Kobbelt
WWW
2005
ACM
14 years 10 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao