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» Measuring and Predicting Object Importance
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ICDM
2008
IEEE
128views Data Mining» more  ICDM 2008»
15 years 5 months ago
Cost-Sensitive Parsimonious Linear Regression
We examine linear regression problems where some features may only be observable at a cost (e.g., in medical domains where features may correspond to diagnostic tests that take ti...
Robby Goetschalckx, Kurt Driessens, Scott Sanner
COMGEO
2006
ACM
14 years 11 months ago
Octrees with near optimal cost for ray-shooting
Predicting and optimizing the performance of ray shooting is a very important problem in computer graphics due to the severe computational demands of ray tracing and other applica...
Hervé Brönnimann, Marc Glisse
IPPS
2010
IEEE
14 years 9 months ago
Characterizing heterogeneous computing environments using singular value decomposition
We consider a heterogeneous computing environment that consists of a collection of machines and task types. The machines vary in capabilities and different task types are better su...
Abdulla Al-Qawasmeh, Anthony A. Maciejewski, Howar...
MM
2010
ACM
191views Multimedia» more  MM 2010»
14 years 9 months ago
Quantifying tag representativeness of visual content of social images
Social tags describe images from many aspects including the visual content observable from the images, the context and usage of images, user opinions and others. Not all tags are ...
Aixin Sun, Sourav S. Bhowmick
ICML
2003
IEEE
16 years 15 hour ago
Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic
When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...
Lian Yan, Robert H. Dodier, Michael Mozer, Richard...