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» Learning the Relative Importance of Features in Image Data
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ICDE
2007
IEEE
95views Database» more  ICDE 2007»
13 years 11 months ago
Learning the Relative Importance of Features in Image Data
Aparna S. Varde, Elke A. Rundensteiner, Giti Javid...
BMVC
2010
13 years 2 months ago
Accounting for the Relative Importance of Objects in Image Retrieval
We introduce a method for image retrieval that leverages the implicit information about object importance conveyed by the list of keyword tags a person supplies for an image. We p...
Sung Ju Hwang, Kristen Grauman
NIPS
2001
13 years 6 months ago
The g Factor: Relating Distributions on Features to Distributions on Images
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
James M. Coughlan, Alan L. Yuille
WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
14 years 2 months ago
Learning Concept Importance Using a Weighted Dependence Model
Modeling query concepts through term dependencies has been shown to have a significant positive effect on retrieval performance, especially for tasks such as web search, where rel...
Michael Bendersky, Donald Metzler, W. Bruce Croft
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 4 months ago
Empirical learning aided by weak domain knowledge in the form of feature importance
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...
Ridwan Al Iqbal