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» Parallel matrix algorithms and applications
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ESANN
2004
13 years 11 months ago
Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?
Abstract. In most ICA algorithms, the separation performances are estimated through the evaluation of a contrast function , used in the update rule of elements of the unmixing matr...
Frédéric Vrins, Cédric Archam...
ICML
2010
IEEE
13 years 11 months ago
On Sparse Nonparametric Conditional Covariance Selection
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...
Mladen Kolar, Ankur P. Parikh, Eric P. Xing
TSP
2011
152views more  TSP 2011»
13 years 5 months ago
Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched
—This work proposes a blind adaptive reduced-rank scheme and constrained constant-modulus (CCM) adaptive algorithms for interference suppression in wireless communications system...
Rodrigo C. de Lamare, Raimundo Sampaio Neto, Marti...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 4 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
EUROPAR
2004
Springer
14 years 3 months ago
From Heterogeneous Task Scheduling to Heterogeneous Mixed Parallel Scheduling
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
Frédéric Suter, Frederic Desprez, He...