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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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CVPR
2010
IEEE
16 years 2 months ago
Automatic Image Annotation Using Group Sparsity
Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have...
Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Y...
ACL
2012
13 years 9 months ago
Unsupervised Semantic Role Induction with Global Role Ordering
We propose a probabilistic generative model for unsupervised semantic role induction, which integrates local role assignment decisions and a global role ordering decision in a uni...
Nikhil Garg, James Henserdon
RECOMB
2003
Springer
16 years 6 months ago
Joint classifier and feature optimization for cancer diagnosis using gene expression data
Recent research has demonstrated quite convincingly that accurate cancer diagnosis can be achieved by constructing classifiers that are designed to compare the gene expression pro...
Balaji Krishnapuram, Lawrence Carin, Alexander J. ...
CC
2009
Springer
106views System Software» more  CC 2009»
16 years 1 months ago
Blind Optimization for Exploiting Hardware Features
Software systems typically exploit only a small fraction of the realizable performance from the underlying microprocessors. While there has been much work on hardware-aware optimiz...
Dan Knights, Todd Mytkowicz, Peter F. Sweeney, Mic...
ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
16 years 7 hour ago
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
Matthew Walter, Ryan Eustice, John J. Leonard