1083 search results - page 166 / 217 » Efficient Discovery of Confounders in Large Data Sets |
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
EMNETS
2007
14 years 25 days ago
2007
Imagers are an increasingly significant source of sensory observations about human activity and the urban environment. ImageScape is a software tool for processing, clustering, an...
CLOR
2006
14 years 19 days ago
2006
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
BMCBI
2006
13 years 9 months ago
2006
Background: Identifying cis-regulatory elements is crucial to understanding gene expression, which highlights the importance of the computational detection of overrepresented tran...
BMCBI
2005
13 years 8 months ago
2005
Background: A large volume of data and information about genes and gene products has been stored in various molecular biology databases. A major challenge for knowledge discovery ...