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» Using Anonymized Data for Classification
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155
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WEBI
2010
Springer
15 years 1 months ago
Learning in Presence of Ontology Mapping Errors
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
Neeraj Koul, Vasant Honavar
143
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ICIP
2009
IEEE
16 years 4 months ago
Using Sparse Regression To Learn Effective Projections For Face Recognition
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
JMLR
2010
182views more  JMLR 2010»
14 years 10 months ago
Quadratic Programming Feature Selection
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
Irene Rodriguez-Lujan, Ramón Huerta, Charle...
134
Voted
CGF
2006
145views more  CGF 2006»
15 years 3 months ago
Classification of Illumination Methods for Mixed Reality
A mixed reality (MR) represents an environment composed both by real and virtual objects. MR applications are used more and more, for instance in surgery, architecture, cultural h...
Katrien Jacobs, Céline Loscos
139
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AAAI
2006
15 years 4 months ago
Automatically Labeling the Inputs and Outputs of Web Services
Information integration systems combine data from multiple heterogeneous Web services to answer complex user queries, provided a user has semantically modeled the service first. T...
Kristina Lerman, Anon Plangprasopchok, Craig A. Kn...