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» Feature selection focused within error clusters
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ICASSP
2011
IEEE
12 years 11 months ago
Nonparametric Bayesian feature selection for multi-task learning
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Hui Li, Xuejun Liao, Lawrence Carin
IPPS
2006
IEEE
14 years 1 months ago
Empowering a helper cluster through data-width aware instruction selection policies
Narrow values that can be represented by less number of bits than the full machine width occur very frequently in programs. On the other hand, clustering mechanisms enable cost- a...
Osman S. Unsal, Oguz Ergin, Xavier Vera, Antonio G...
CAD
2007
Springer
13 years 7 months ago
A formal theory for estimating defeaturing-induced engineering analysis errors
Defeaturing is a popular CAD/ CAE simplification technique where ‘small or irrelevant features’ are suppressed within a CAD model for speeding-up downstream processes, especia...
Sankara Hari Gopalakrishnan, Krishnan Suresh
ICDAR
2009
IEEE
13 years 5 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An
CIKM
2004
Springer
14 years 27 days ago
Event threading within news topics
With the overwhelming volume of online news available today, there is an increasing need for automatic techniques to analyze and present news to the user in a meaningful and effi...
Ramesh Nallapati, Ao Feng, Fuchun Peng, James Alla...