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» Approximation Algorithms for k-hurdle Problems
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FOCM
2007
94views more  FOCM 2007»
15 years 4 months ago
Trust-Region Methods on Riemannian Manifolds
A general scheme for trust-region methods on Riemannian manifolds is proposed and analyzed. Among the various approaches available to (approximately) solve the trust-region subpro...
Pierre-Antoine Absil, C. G. Baker, Kyle A. Galliva...
SIGARCH
2008
94views more  SIGARCH 2008»
15 years 4 months ago
Optimized on-chip pipelining of memory-intensive computations on the cell BE
Multiprocessors-on-chip, such as the Cell BE processor, regularly suffer from restricted bandwidth to off-chip main memory. We propose to reduce memory bandwidth requirements, and...
Christoph W. Kessler, Jörg Keller
104
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TNN
2008
82views more  TNN 2008»
15 years 4 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...
112
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PAMI
2010
119views more  PAMI 2010»
15 years 2 months ago
Efficient Multilevel Eigensolvers with Applications to Data Analysis Tasks
—Multigrid solvers proved very efficient for solving massive systems of equations in various fields. These solvers are based on iterative relaxation schemes together with the app...
Dan Kushnir, Meirav Galun, Achi Brandt
SEAL
2010
Springer
15 years 2 months ago
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
Ilya Loshchilov, Marc Schoenauer, Michèle S...