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» An ICA algorithm for analyzing multiple data sets
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BMCBI
2006
119views more  BMCBI 2006»
13 years 8 months ago
Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
Zihua Hu, Gail R. Willsky
MEMICS
2010
13 years 2 months ago
Simultaneous Tracking of Multiple Objects Using Fast Level Set-Like Algorithm
A topological flexibility of implicit active contours is of great benefit, since it allows simultaneous detection of several objects without any a priori knowledge about their num...
Martin Maska, Pavel Matula, Michal Kozubek
JCP
2007
149views more  JCP 2007»
13 years 7 months ago
Partitional Clustering Techniques for Multi-Spectral Image Segmentation
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
Danielle Nuzillard, Cosmin Lazar
IJIT
2004
13 years 9 months ago
Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data
We develop a three-step fuzzy logic-based algorithm for clustering categorical attributes, and we apply it to analyze cultural data. In the first step the algorithm employs an entr...
George E. Tsekouras, Dimitris Papageorgiou, Sotiri...
VCIP
2003
147views Communications» more  VCIP 2003»
13 years 9 months ago
An objective method for combining multiple subjective data sets
International recommendations for subjective video quality assessment (e.g., ITU-R BT.500-11) include specifications for how to perform many different types of subjective tests. I...
Margaret H. Pinson, Stephen Wolf