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» New Directions on Agile Methods: A Comparative Analysis
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BMCBI
2010
151views more  BMCBI 2010»
14 years 10 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
BMCBI
2008
104views more  BMCBI 2008»
14 years 10 months ago
Missing value imputation improves clustering and interpretation of gene expression microarray data
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
Johannes Tuikkala, Laura Elo, Olli Nevalainen, Ter...
ICIP
2006
IEEE
15 years 11 months ago
Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object Segmentation
Embedding generic shape information into probabilistic spatiotemporal video object segmentation is of pivotal importance to achieving better segmentation, since it provides valuab...
Rakib Ahmed, Gour C. Karmakar, Laurence S. Dooley
MICCAI
2005
Springer
15 years 11 months ago
Deformable Registration of Brain Tumor Images Via a Statistical Model of Tumor-Induced Deformation
An approach to the deformable registration of three-dimensional brain tumor images to a normal brain atlas is presented. The approach involves the integration of three components:...
Ashraf Mohamed, Dinggang Shen, Christos Davatzikos
VLSID
2002
IEEE
116views VLSI» more  VLSID 2002»
15 years 10 months ago
Efficient Macromodeling for On-Chip Interconnects
The improved T and improved n models are proposed for onchip interconnect macromodeling. Using global approximations, simple approximation frames are derived and applied to modeli...
Qinwei Xu, Pinaki Mazumder