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» Measuring and Predicting Object Importance
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SUTC
2010
IEEE
14 years 11 days ago
A Log-Ratio Information Measure for Stochastic Sensor Management
—In distributed sensor networks, computational and energy resources are in general limited. Therefore, an intelligent selection of sensors for measurements is of great importance...
Daniel Lyons, Benjamin Noack, Uwe D. Hanebeck
APGV
2006
ACM
138views Visualization» more  APGV 2006»
13 years 10 months ago
Verification of rendering quality from measured BTFs
One of the most important, still unsolved problems in computer graphics is the generation of predictive imagery, i.e., images that represent perfect renditions of reality. Such pe...
Jan Meseth, Gero Müller, Reinhard Klein, Flor...
NPL
2006
98views more  NPL 2006»
13 years 8 months ago
Lamb Meat Quality Assessment by Support Vector Machines
The correct assessment of meat quality (i.e., to fulfill the consumer's needs) is crucial element within the meat industry. Although there are several factors that affect the ...
Paulo Cortez, Manuel Portelinha, Sandra Rodrigues,...
WWW
2010
ACM
14 years 3 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
UAI
2008
13 years 10 months ago
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...