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BMCBI
2007
99views more  BMCBI 2007»
13 years 10 months ago
Stratification bias in low signal microarray studies
Background: When analysing microarray and other small sample size biological datasets, care is needed to avoid various biases. We analyse a form of bias, stratification bias, that...
Brian J. Parker, Simon Günter, Justin Bedo
VLDB
2001
ACM
139views Database» more  VLDB 2001»
14 years 2 months ago
NetCube: A Scalable Tool for Fast Data Mining and Compression
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
Dimitris Margaritis, Christos Faloutsos, Sebastian...
FOCS
1999
IEEE
14 years 2 months ago
Near-Optimal Conversion of Hardness into Pseudo-Randomness
Various efforts ([?, ?, ?]) have been made in recent years to derandomize probabilistic algorithms using the complexity theoretic assumption that there exists a problem in E = dti...
Russell Impagliazzo, Ronen Shaltiel, Avi Wigderson
HVEI
2009
13 years 8 months ago
A perceptual evaluation of 3D unsharp masking
Much research has gone into developing methods for enhancing the contrast of displayed 3D scenes. In the current study, we investigated the perceptual impact of an algorithm recen...
Matthias Ihrke, Tobias Ritschel, Kaleigh Smith, Th...
SENSYS
2003
ACM
14 years 3 months ago
Model-based compression in wireless ad hoc networks
We present a technique for compression of shortest paths routing tables for wireless ad hoc networks. The main characteristic of such networks is that geographic location of nodes...
Milenko Drinic, Darko Kirovski, Miodrag Potkonjak