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» Approximation Algorithms for Tensor Clustering
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ICML
2008
IEEE
14 years 8 months ago
Training structural SVMs when exact inference is intractable
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
Thomas Finley, Thorsten Joachims
SYNASC
2006
IEEE
106views Algorithms» more  SYNASC 2006»
14 years 2 months ago
A Quality Measure for Multi-Level Community Structure
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
Maylis Delest, Jean-Marc Fedou, Guy Melanço...
ESA
2009
Springer
167views Algorithms» more  ESA 2009»
14 years 18 days ago
Clustering-Based Bidding Languages for Sponsored Search
Sponsored search auctions provide a marketplace where advertisers can bid for millions of advertising opportunities to promote their products. The main difficulty facing the adver...
Mohammad Mahdian, Grant Wang
GLOBECOM
2007
IEEE
14 years 2 months ago
Clustered K-Center: Effective Replica Placement in Peer-to-Peer Systems
Abstract— Peer-to-Peer (P2P) systems provide decentralization, self-organization, scalability and failure-resilience, but suffer from high worst-case latencies. Researchers have ...
Jian Zhou, Xin Zhang, Laxmi N. Bhuyan, Bin Liu
ICALP
2009
Springer
14 years 8 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