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» Clustering with Multiple Graphs
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ICML
2010
IEEE
15 years 7 months ago
Power Iteration Clustering
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
Frank Lin, William W. Cohen
JMLR
2011
133views more  JMLR 2011»
15 years 1 months ago
Operator Norm Convergence of Spectral Clustering on Level Sets
Following Hartigan (1975), a cluster is defined as a connected component of the t-level set of the underlying density, that is, the set of points for which the density is greater...
Bruno Pelletier, Pierre Pudlo
MICCAI
2009
Springer
15 years 8 months ago
Optimal Graph Search Segmentation Using Arc-weighted Graph for Simultaneous Surface Detection of Bladder and Prostate
We present a novel method for globally optimal surface segmentation of multiple mutually interacting objects, incorporating both edge and shape knowledge in a 3-D graph-theoretic a...
Qi Song, Xiaodong Wu, Yunlong Liu, Mark Smith, Joh...
ACSC
2003
IEEE
15 years 11 months ago
A Novel Approach to Parenting in Functional Program Evaluation
The ability for multiple threads to enter the same graph node without contention and conflict is a necessary component of the graph reduction of functional languages since graph c...
Julian R. Dermoudy
ICALP
2011
Springer
14 years 9 months ago
Clustering with Local Restrictions
We study a family of graph clustering problems where each cluster has to satisfy a certain local requirement. Formally, let µ be a function on the subsets of vertices of a graph G...
Daniel Lokshtanov, Dániel Marx