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UAI
2004
15 years 4 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
BMCBI
2010
166views more  BMCBI 2010»
15 years 3 months ago
Accurate peak list extraction from proteomic mass spectra for identification and profiling studies
Background: Mass spectrometry is an essential technique in proteomics both to identify the proteins of a biological sample and to compare proteomic profiles of different samples. ...
Nicola Barbarini, Paolo Magni
CGF
2010
189views more  CGF 2010»
15 years 3 months ago
Real-time Depth of Field Rendering via Dynamic Light Field Generation and Filtering
We present a new algorithm for efficient rendering of high-quality depth-of-field (DoF) effects. We start with a single rasterized view (reference view) of the scene, and sample t...
Xuan Yu, Rui Wang, Jingyi Yu
146
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CAD
2005
Springer
15 years 2 months ago
A Delaunay-based region-growing approach to surface reconstruction from unorganized points
This paper presents a Delaunay-based region-growing (DBRG) surface reconstruction algorithm that holds the advantages of both Delaunay-based and region-growing approaches. The pro...
Chuan-Chu Kuo, Hong-Tzong Yau
GI
2009
Springer
15 years 21 days ago
Modelling Missing Values for Audience Measurement in Outdoor Advertising Using GPS Data
Abstract: GPS technology has made it possible to evaluate the performance of outdoor advertising campaigns in an objective manner. Given the GPS trajectories of a sample of test pe...
Michael May, Christine Körner, Dirk Hecker, M...