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» Sampling Techniques for Kernel Methods
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UAI
2004
14 years 11 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»
14 years 10 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»
14 years 10 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
CAD
2005
Springer
14 years 9 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
14 years 7 months 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...