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SIGIR
2006
ACM
14 years 2 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
SIGIR
2008
ACM
13 years 8 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...
MM
2006
ACM
175views Multimedia» more  MM 2006»
14 years 2 months ago
Diversifying the image retrieval results
In the area of image retrieval, post-retrieval processing is often used to refine the retrieval results to better satisfy users’ requirements. Previous methods mainly focus on p...
Kai Song, YongHong Tian, Wen Gao, Tiejun Huang
TOG
2010
96views more  TOG 2010»
13 years 3 months ago
Light reallocation for high contrast projection using an analog micromirror array
We demonstrate for the first time a proof of concept projector with a secondary array of individually controllable, analog micromirrors added to improve the contrast and peak brig...
Reynald Hoskinson, Boris Stoeber, Wolfgang Heidric...
SIGMOD
2008
ACM
206views Database» more  SIGMOD 2008»
14 years 8 months ago
Ad-hoc aggregations of ranked lists in the presence of hierarchies
A variety of web sites and web based services produce textual lists at varying time granularities ranked according to several criteria. For example, Google Trends produces lists o...
Nilesh Bansal, Sudipto Guha, Nick Koudas