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JMMA
2010
162views more  JMMA 2010»
14 years 5 months ago
Co-clustering Documents and Words by Minimizing the Normalized Cut Objective Function
This paper follows a word-document co-clustering model independently introduced in 2001 by several authors such as I.S. Dhillon, H. Zha and C. Ding. This model consists in creatin...
Charles-Edmond Bichot
CVPR
2009
IEEE
1696views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Fast Normalized Cut with Linear Constraints
Normalized Cut is a widely used technique for solving a variety of problems. Although finding the optimal normalized cut has proven to be NP-hard, spectral relaxations can be ap...
Linli Xu (University of Alberta), Wenye Li (Univer...
BMCBI
2010
89views more  BMCBI 2010»
14 years 10 months ago
Spatial normalization improves the quality of genotype calling for Affymetrix SNP 6.0 arrays
Background: Microarray measurements are susceptible to a variety of experimental artifacts, some of which give rise to systematic biases that are spatially dependent in a unique w...
High-Seng Chai, Terry M. Therneau, Kent R. Bailey,...
75
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ICCAD
2006
IEEE
190views Hardware» more  ICCAD 2006»
15 years 7 months ago
Factor cuts
Enumeration of bounded size cuts is an important step in several logic synthesis algorithms such as technology mapping and re-writing. The standard algorithm does not scale beyond...
Satrajit Chatterjee, Alan Mishchenko, Robert K. Br...
ICPR
2004
IEEE
15 years 11 months ago
Improving Cut Detection in MPEG Videos by GOP-Oriented Frame Difference Normalization
The detection of abrupt shot changes ("cuts") in videos is a basic step in video content analysis. Many cut detection algorithms based on histogram differences have been...
Bernd Freisleben, Ralph Ewerth