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» Clustering with Instance-level Constraints
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CVPR
2012
IEEE
11 years 7 months ago
Active image clustering: Seeking constraints from humans to complement algorithms
We propose a method of clustering images that combines algorithmic and human input. An algorithm provides us with pairwise image similarities. We then actively obtain selected, mo...
Arijit Biswas, David W. Jacobs
ICDE
1993
IEEE
118views Database» more  ICDE 1993»
13 years 9 months ago
Entity Identification in Database Integration
The objective of entity identification is to determine the correspondence between object instances from more than one database. This paper ezamines the problem at the instance lev...
Ee-Peng Lim, Jaideep Srivastava, Satya Prabhakar, ...
TKDE
2012
245views Formal Methods» more  TKDE 2012»
11 years 7 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung
FUIN
2010
143views more  FUIN 2010»
13 years 2 months ago
Cluster Tree Elimination for Distributed Constraint Optimization with Quality Guarantees
Some distributed constraint optimization algorithms use a linear number of messages in the number of agents, but of exponential size. This is often the main limitation for their pr...
Ismel Brito, Pedro Meseguer
CSDA
2010
67views more  CSDA 2010»
13 years 4 months ago
Using combinatorial optimization in model-based trimmed clustering with cardinality constraints
Statistical clustering criteria with free scale parameters and unknown cluster sizes are inclined to create small, spurious clusters. To mitigate this tendency a statistical model ...
María Teresa Gallegos, Gunter Ritter