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» Two Graph Algorithms On an Associative Computing Model
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RECOMB
2007
Springer
14 years 8 months ago
An Efficient and Accurate Graph-Based Approach to Detect Population Substructure
Currently, large-scale projects are underway to perform whole genome disease association studies. Such studies involve the genotyping of hundreds of thousands of SNP markers. One o...
Srinath Sridhar, Satish Rao, Eran Halperin
STACS
1992
Springer
13 years 11 months ago
Speeding Up Two String-Matching Algorithms
We show how to speed up two string-matching algorithms: the Boyer-Moore algorithm (BM algorithm), and its version called here the reverse factor algorithm (RF algorithm). The RF al...
Maxime Crochemore, Thierry Lecroq, Artur Czumaj, L...
IPPS
2007
IEEE
14 years 1 months ago
RNAVLab: A unified environment for computational RNA structure analysis based on grid computing technology
Ribonucleic acid (RNA) molecules play important roles in many biological processes including gene expression and regulation. An RNA molecule is a linear polymer which folds back o...
Michela Taufer, Ming-Ying Leung, Kyle L. Johnson, ...
DIS
2004
Springer
14 years 1 months ago
Predictive Graph Mining
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...
Andreas Karwath, Luc De Raedt
CVPR
2011
IEEE
13 years 3 months ago
Multiobject Tracking as Maximum Weight Independent Set
This paper addresses the problem of simultaneous tracking of multiple targets in a video. We first apply object detectors to every video frame. Pairs of detection responses from ...
William Brendel, Mohamed Amer, Sinisa Todorovic