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» Computing LTS Regression for Large Data Sets
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BMCBI
2010
189views more  BMCBI 2010»
13 years 9 months ago
Efficient parallel and out of core algorithms for constructing large bi-directed de Bruijn graphs
Background: Assembling genomic sequences from a set of overlapping reads is one of the most fundamental problems in computational biology. Algorithms addressing the assembly probl...
Vamsi Kundeti, Sanguthevar Rajasekaran, Hieu Dinh,...
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
14 years 6 months ago
ShatterPlots: Fast Tools for Mining Large Graphs.
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
Ana Paula Appel, Andrew Tomkins, Christos Faloutso...
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
13 years 7 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
ICPR
2004
IEEE
14 years 10 months ago
Off-line Handwritten Textline Recognition Using a Mixture of Natural and Synthetic Training Data
In this paper the problem of off-line handwritten cursive text recognition is considered. A method for expanding the set of available training textlines by applying random perturb...
Tamás Varga, Horst Bunke
SCFBM
2008
91views more  SCFBM 2008»
13 years 8 months ago
Simple tools for assembling and searching high-density picolitre pyrophosphate sequence data
Background: The advent of pyrophosphate sequencing makes large volumes of sequencing data available at a lower cost than previously possible. However, the short read lengths are d...
Nicolas J. Parker, Andrew G. Parker