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» Approximate algorithms for neural-Bayesian approaches
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CONSTRAINTS
2007
46views more  CONSTRAINTS 2007»
15 years 5 months ago
Local-search Extraction of MUSes
SAT is probably one of the most-studied constraint satisfaction problems. In this paper, a new hybrid technique based on local search is introduced in order to approximate and ext...
Éric Grégoire, Bertrand Mazure, C&ea...
FOCM
2007
94views more  FOCM 2007»
15 years 5 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...
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SIGARCH
2008
94views more  SIGARCH 2008»
15 years 5 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
TNN
2008
82views more  TNN 2008»
15 years 5 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 ...
TVCG
2008
125views more  TVCG 2008»
15 years 5 months ago
Generic Remeshing of 3D Triangular Meshes with Metric-Dependent Discrete Voronoi Diagrams
In this paper, we propose a generic framework for 3D surface remeshing. Based on a metric-driven Discrete Voronoi Diagram construction, our output is an optimized 3D triangular mes...
Sébastien Valette, Jean-Marc Chassery, R&ea...