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» On similarity measures between intuitionistic fuzzy sets
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IAT
2009
IEEE
15 years 4 months ago
Cluster-Swap: A Distributed K-median Algorithm for Sensor Networks
In building practical sensor networks, it is often beneficial to use only a subset of sensors to take measurements because of computational, communication, and power limitations....
Yoonheui Kim, Victor R. Lesser, Deepak Ganesan, Ra...
ICDE
2004
IEEE
120views Database» more  ICDE 2004»
15 years 11 months ago
Substructure Clustering on Sequential 3d Object Datasets
In this paper, we will look at substructure clustering of sequential 3d objects. A sequential 3d object is a set of points located in a three dimensional space that are linked up ...
Zhenqiang Tan, Anthony K. H. Tung
PAMI
2007
171views more  PAMI 2007»
14 years 9 months ago
Toward Objective Evaluation of Image Segmentation Algorithms
—Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thu...
Ranjith Unnikrishnan, Caroline Pantofaru, Martial ...
ICALP
2009
Springer
15 years 10 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty
BMCBI
2010
96views more  BMCBI 2010»
14 years 10 months ago
sdef: an R package to synthesize lists of significant features in related experiments
Background: In microarray studies researchers are often interested in the comparison of relevant quantities between two or more similar experiments, involving different treatments...
Marta Blangiardo, Alberto Cassese, Sylvia Richards...