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» Approximate algorithms for neural-Bayesian approaches
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GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
15 years 1 months ago
Coevolution of neural networks using a layered pareto archive
The Layered Pareto Coevolution Archive (LAPCA) was recently proposed as an effective Coevolutionary Memory (CM) which, under certain assumptions, approximates monotonic progress i...
German A. Monroy, Kenneth O. Stanley, Risto Miikku...
FSTTCS
2000
Springer
15 years 1 months ago
Text Sparsification via Local Maxima
In this paper we investigate some properties and algorithms related to a text sparsification technique based on the identification of local maxima in the given string. As the numb...
Pierluigi Crescenzi, Alberto Del Lungo, Roberto Gr...
CAIP
1995
Springer
252views Image Analysis» more  CAIP 1995»
15 years 1 months ago
3D Surface Reconstruction Using Occluding Contours
This paper addresses the problem of 3D surface reconstruction using image sequences. It has been shown that shape recovery from three or more occluding contours of the surface is p...
Edmond Boyer, Marie-Odile Berger
AAAI
2008
15 years 4 days ago
A General Framework for Generating Multivariate Explanations in Bayesian Networks
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
Changhe Yuan, Tsai-Ching Lu
AMR
2008
Springer
248views Multimedia» more  AMR 2008»
14 years 11 months ago
Mobile Museum Guide Based on Fast SIFT Recognition
Abstract. This article explores the feasibility of a market-ready, mobile pattern recognition system based on the latest findings in the field of object recognition and currently a...
Boris Ruf, Effrosini Kokiopoulou, Marcin Detynieck...