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BIODATAMINING
2008
135views more  BIODATAMINING 2008»
15 years 7 months ago
Fast Gene Ontology based clustering for microarray experiments
Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi
194
Voted
PR
2006
141views more  PR 2006»
15 years 6 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
BMCBI
2005
86views more  BMCBI 2005»
15 years 6 months ago
Chromosomal clustering of a human transcriptome reveals regulatory background
Background: There has been much evidence recently for a link between transcriptional regulation and chromosomal gene order, but the relationship between genomic organization, regu...
Jan H. Vogel, Anja von Heydebreck, Antje Purmann, ...
COGCOM
2011
228views more  COGCOM 2011»
15 years 1 months ago
Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion
Where does one attend when viewing dynamic scenes? Research into the factors influencing gaze location during static scene viewing have reported that low-level visual features con...
Parag K. Mital, Tim J. Smith, Robin L. Hill, John ...
238
Voted
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
14 years 2 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li