176 search results - page 17 / 36 » A Problem Kernelization for Graph Packing |
BMCBI
2008
13 years 7 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
PAMI
2007
13 years 7 months ago
2007
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
ISBRA
2007
Springer
14 years 1 months ago
2007
Springer
The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state-of-theart approach is to perform clustering and then...
3DIM
2005
IEEE
14 years 1 months ago
2005
IEEE
Automatic range image registration without any knowledge of the viewpoint requires identification of common regions across different range images and then establishing point corr...
MST
2010
13 years 2 months ago
2010
Cluster Editing is transforming a graph by at most k edge insertions or deletions into a disjoint union of cliques. This problem is fixed-parameter tractable (FPT). Here we comput...