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ICPR
2008
IEEE
16 years 26 days ago
Impulse noise removal by spectral clustering and regularization on graphs
In this paper we present a method for impulse noise removal that makes use of spectral clustering and graph regularization. The image is modeled as a graph and local spectral anal...
Olivier Lezoray, Vinh-Thong Ta, Abderrahim Elmoata...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 2 days ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
IPPS
2010
IEEE
14 years 9 months ago
Large scale complex network analysis using the hybrid combination of a MapReduce cluster and a highly multithreaded system
Complex networks capture interactions among entities in various application areas in a graph representation. Analyzing large scale complex networks often answers important question...
Seunghwa Kang, David A. Bader
JCB
2002
160views more  JCB 2002»
14 years 11 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
IWCMC
2010
ACM
15 years 4 months ago
Group detection in mobility traces
—Analysis and modeling of wireless networks greatly depend on understanding the structure of underlying mobile nodes. In this paper we present two clustering algorithms to determ...
Yung-Chih Chen, Elisha J. Rosensweig, Jim Kurose, ...