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BMCBI
2004
150views more  BMCBI 2004»
15 years 2 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
15 years 9 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
MICCAI
2008
Springer
16 years 4 months ago
Weights and Topology: A Study of the Effects of Graph Construction on 3D Image Segmentation
Abstract. Graph-based algorithms have become increasingly popular for medical image segmentation. The fundamental process for each of these algorithms is to use the image content t...
Leo Grady, Marie-Pierre Jolly
CG
2004
Springer
15 years 2 months ago
Hierarchical graph maps
nd maps are powerful abstractions. Their combination, Hierarchical Graph Maps, provide effective tools to process a graph that is too large to fit on the screen. They provide hier...
James Abello
COLT
2003
Springer
15 years 8 months ago
On Finding Large Conjunctive Clusters
We propose a new formulation of the clustering problem that differs from previous work in several aspects. First, the goal is to explicitly output a collection of simple and meani...
Nina Mishra, Dana Ron, Ram Swaminathan