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» Clustering from Constraint Graphs
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BMCBI
2010
214views more  BMCBI 2010»
13 years 10 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
EMNLP
2006
13 years 11 months ago
Learning Field Compatibilities to Extract Database Records from Unstructured Text
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
Michael L. Wick, Aron Culotta, Andrew McCallum
RTCSA
2000
IEEE
14 years 2 months ago
Extracting safe and precise control flow from binaries
As a starting point for static program analysis a control flow graph (CFG) is needed. If only the binary executable is available, this CFG has to be reconstructed from sequences ...
Henrik Theiling
TOG
2002
133views more  TOG 2002»
13 years 9 months ago
Interactive motion generation from examples
There are many applications that demand large quantities of natural looking motion. It is difficult to synthesize motion that looks natural, particularly when it is people who mus...
Okan Arikan, David A. Forsyth
SBACPAD
2003
IEEE
125views Hardware» more  SBACPAD 2003»
14 years 3 months ago
Applying Scheduling by Edge Reversal to Constraint Partitioning
— Scheduling by Edge Reversal (SER) is a fully distributed scheduling mechanism based on the manipulation of acyclic orientations of a graph. This work uses SER to perform constr...
Marluce Rodrigues Pereira, Patrícia Kayser ...