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» Approximation Algorithms for Biclustering Problems
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ISSAC
2009
Springer
144views Mathematics» more  ISSAC 2009»
15 years 11 months ago
H-LLL: using householder inside LLL
We describe a new LLL-type algorithm, H-LLL, that relies on Householder transformations to approximate the underlying Gram-Schmidt orthogonalizations. The latter computations are ...
Ivan Morel, Damien Stehlé, Gilles Villard
143
Voted
INFOCOM
2000
IEEE
15 years 9 months ago
QoS Routing with Performance-Dependent Costs
Abstract—We study a network model in which each network link is associated with a set of delays and costs. These costs are a function of the delays and reflect the prices paid i...
Funda Ergün, Rakesh K. Sinha, Lisa Zhang
112
Voted
ISICA
2007
Springer
15 years 11 months ago
On the Performance of Metamodel Assisted MOEA/D
Abstract. MOEA/D is a novel and successful Multi-Objective Evolutionary Algorithms(MOEA) which utilizes the idea of problem decomposition to tackle the complexity from multiple obj...
Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao ...
CDC
2010
IEEE
118views Control Systems» more  CDC 2010»
14 years 11 months ago
On optimal cooperative patrolling
This work considers the problem of designing optimal multi-agent trajectories to patrol an environment. As performance criterion for optimal patrolling we consider the worst-case t...
Fabio Pasqualetti, Antonio Franchi, Francesco Bull...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 7 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park