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» A Supervised Clustering Method for Text Classification
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ACL
1994
15 years 3 months ago
A Corpus-Based Approach to Automatic Compound Extraction
An automatic compound retrieval method is proposed to extract compounds within a text message. It uses n-gram mutual information, relative frequency count and parts of speech as t...
Keh-Yih Su, Ming-Wen Wu, Jing-Shin Chang
BMCBI
2006
171views more  BMCBI 2006»
15 years 2 months ago
The effect of oligonucleotide microarray data pre-processing on the analysis of patient-cohort studies
Background: Intensity values measured by Affymetrix microarrays have to be both normalized, to be able to compare different microarrays by removing non-biological variation, and s...
Roel G. W. Verhaak, Frank J. T. Staal, Peter J. M....
130
Voted
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
15 years 11 months ago
GeoFolk: Latent spatial semantics in Web 2.0 social media
We describe an approach for multi-modal characterization of social media by combining text features (e.g. tags as a prominent example of short, unstructured text labels) with spat...
Sergej Sizov
130
Voted
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Manifold learning, a promised land or work in progress?
ABSTRACT In this paper, we report our experiments using a realworld image dataset to examine the effectiveness of Isomap, LLE and KPCA. The 1,897-image dataset we used consists of ...
Mei-Chen Yeh, I-Hsiang Lee, Gang Wu, Yi Wu, Edward...
CVPR
2008
IEEE
16 years 4 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...