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» Word Importance Discrimination Using Context Information
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158
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ERCIMDL
2010
Springer
142views Education» more  ERCIMDL 2010»
15 years 4 months ago
Effective Term Weighting for Sentence Retrieval
A well-known challenge of information retrieval is how to infer a user's underlying information need when the input query consists of only a few keywords. Question Answering (...
Saeedeh Momtazi, Matthew Lease, Dietrich Klakow
120
Voted
AMI
2010
Springer
15 years 26 days ago
Geo-Social Interaction: Context-Aware Help in Large Scale Public Spaces
We present an approach to exploit social and spatio-temporal context in order to improve information dissemination in dynamic largescale public spaces. We illustrate it by applying...
Nasim Mahmud, Petr Aksenov, Ansar-Ul-Haque Yasar, ...
134
Voted
COLING
2002
15 years 3 months ago
Unknown Word Extraction for Chinese Documents
There is no blank to mark word boundaries in Chinese text. As a result, identifying words is difficult, because of segmentation ambiguities and occurrences of unknown words. Conve...
Keh-Jiann Chen, Wei-Yun Ma
165
Voted
PRL
2007
154views more  PRL 2007»
15 years 2 months ago
Regularized mixture discriminant analysis
Abstract – In this paper we seek a Gaussian mixture model (GMM) of the classconditional densities for plug-in Bayes classification. We propose a method for setting the number of ...
Zohar Halbe, Mayer Aladjem
173
Voted
TNN
2010
155views Management» more  TNN 2010»
14 years 10 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...