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JMMA
2010
162views more  JMMA 2010»
13 years 3 days 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»
15 years 13 days 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»
13 years 5 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,...
ICCAD
2006
IEEE
190views Hardware» more  ICCAD 2006»
14 years 2 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
14 years 6 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