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CVPR
2012
IEEE
13 years 5 days ago
2012
IEEE
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
WSDM
2010
ACM
15 years 7 months ago
2010
ACM
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
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SPLC
2007
14 years 11 months ago
2007
Feature modeling is a notation and an approach for modeling commonality and variability in product families. In their basic form, feature models contain mandatory/optional feature...
EMNLP
2010
14 years 7 months ago
2010
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
NAACL
2010
14 years 7 months ago
2010
We describe a cross-lingual method for the induction of selectional preferences for resourcepoor languages, where no accurate monolingual models are available. The method uses bil...