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ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 4 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
ICDAR
2003
IEEE
15 years 3 months ago
Consensus-Based Table Form Recognition
Zoning documents increases the resolution of indexing from the image level to the field level. A line-delimited tabular document forms a well defined series of regions. However,...
Heath E. Nielson, William A. Barrett
DSN
2006
IEEE
15 years 4 months ago
One-step Consensus with Zero-Degradation
In the asynchronous distributed system model, consensus is obtained in one communication step if all processes propose the same value. Assuming f < n/3, this is regardless of t...
Dan Dobre, Neeraj Suri
SAC
2006
ACM
15 years 3 months ago
Quiescent consensus in mobile ad-hoc networks using eventually storage-free broadcasts
We solve the consensus problem using a new class of broadcasts that are very appropriate to ad-hoc networking: every broadcast message is eventually ensured to be garbagecollected...
François Bonnet, Paul D. Ezhilchelvan, Eina...
PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
14 years 7 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...