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» Improving object classification using semantic attributes
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ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
13 years 10 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano
CVPR
2011
IEEE
13 years 1 months ago
Sharing Features Between Objects and Their Attributes
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
Sung Ju Hwang, Fei Sha, Kristen Grauman
GFKL
2005
Springer
128views Data Mining» more  GFKL 2005»
13 years 11 months ago
Automatic Extension of Feature-based Semantic Lexicons via Contextual Attributes
We describe how a feature-based semantic lexicon can be automatically extended using large, unstructured text corpora. Experiments are carried out using the lexicon HaGenLex and th...
Chris Biemann, Rainer Osswald
IDT
2008
123views more  IDT 2008»
13 years 5 months ago
A rich semantic model of track as a foundation for sharing beliefs regarding dynamic objects and events
: Many defense, homeland security, and commercial security objectives require continuous tracking of mobile entities such as aircraft. The systems that perform these functions prod...
Frederick Hayes-Roth, Curtis L. Blais
KAIS
2006
87views more  KAIS 2006»
13 years 5 months ago
Improving the performance of 1D object classification by using the Electoral College
Abstract It has been proven that districted matching schemes (e.g., the US presidential election scheme, also called the Electoral College) are more stable than undistricted matchi...
Liang Chen, Ruoyu Chen, Sharmin Nilufar