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» Approximate algorithms for neural-Bayesian approaches
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CONSTRAINTS
2007
46views more  CONSTRAINTS 2007»
14 years 10 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»
14 years 10 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»
14 years 10 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»
14 years 10 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»
14 years 10 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...