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» Learning the Relative Importance of Features in Image Data
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WWW
2009
ACM
16 years 5 months ago
Enhancing diversity, coverage and balance for summarization through structure learning
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Y...
MVA
2007
132views Computer Vision» more  MVA 2007»
15 years 6 months ago
A Comparison of New Generic Camera Calibration with the Standard Parametric Approach
This paper deals with a recently proposed nonparametric approach to camera calibration, which is applicable to any type of sensor design. Currently, no relative quantitative perfo...
Aubrey K. Dunne, John Mallon, Paul F. Whelan
ACL
2011
14 years 8 months ago
Contrasting Opposing Views of News Articles on Contentious Issues
We present disputant relation-based method for classifying news articles on contentious issues. We observe that the disputants of a contention are an important feature for underst...
Souneil Park, Kyung Soon Lee, Junehwa Song
MIR
2005
ACM
137views Multimedia» more  MIR 2005»
15 years 10 months ago
A content-based image retrieval system for fish taxonomy
It is estimated that less than ten percent of the world’s species have been discovered and described. The main reason for the slow pace of new species description is that the sc...
Yixin Chen, Henry L. Bart Jr., Fei Teng
ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
15 years 10 months ago
Dynamic Integration of Classifiers in the Space of Principal Components
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen...