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AI
2010
Springer
13 years 8 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
TROB
2008
151views more  TROB 2008»
13 years 7 months ago
Inverse Depth Parametrization for Monocular SLAM
Recent work has shown that the probabilistic SLAM approach of explicit uncertainty propagation can succeed in permitting repeatable 3D real-time localization and mapping even in th...
Javier Civera, Andrew J. Davison, J. M. M. Montiel
BMCBI
2005
120views more  BMCBI 2005»
13 years 7 months ago
SpectralNET - an application for spectral graph analysis and visualization
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...
SIGDOC
2009
ACM
14 years 2 months ago
Formalization and community investment in wikipedia's regulating texts: the role of essays
This poster presents ongoing research on how discursive and editing behaviors are regulated on Wikipedia by means of documented rules and practices. Our analysis focuses on three ...
Jonathan T. Morgan, Katie Derthick, Toni Ferro, El...
HICSS
2008
IEEE
158views Biometrics» more  HICSS 2008»
14 years 2 months ago
Consensual Dynamics in Group Decision Making with Triangular Fuzzy Numbers
In this paper we study the modelling of consensus reaching in a ‘soft’ environment, i.e. when the individual testimonies are expressed as fuzzy preference relations. Here cons...
Mario Fedrizzi, Michele Fedrizzi, Ricardo A. Marqu...