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BMCBI
2007
134views more  BMCBI 2007»
13 years 8 months ago
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
ICDAR
2009
IEEE
13 years 6 months ago
A Robust Wavelet Transform Based Technique for Video Text Detection
In this paper, we propose a new method based on wavelet transform, statistical features and central moments for both graphics and scene text detection in video images. The method ...
Palaiahnakote Shivakumara, Trung Quy Phan, Chew Li...
NLDB
2010
Springer
14 years 8 days ago
Semantic Content Access Using Domain-Independent NLP Ontologies
We present a lightweight, user-centred approach for document navigation and analysis that is based on an ontology of text mining results. This allows us to bring the result of exis...
René Witte, Ralf Krestel
ISPASS
2006
IEEE
14 years 2 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
JCB
2002
160views more  JCB 2002»
13 years 8 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...