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» Landscape of Clustering Algorithms
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SSPR
2004
Springer
16 years 14 hour ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
NIPS
2008
15 years 8 months ago
Online Prediction on Large Diameter Graphs
We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph has a large diameter then the ...
Mark Herbster, Guy Lever, Massimiliano Pontil
ICIP
2009
IEEE
15 years 4 months ago
Precise head segmentation on arbitrary backgrounds
We propose a method for segmentation of frontal human portraits from arbitrary unknown backgrounds. Semantic information is used to project the face into a normalized reference fr...
David C. Schneider, Benjamin Prestele, Peter Eiser...
HICSS
2008
IEEE
199views Biometrics» more  HICSS 2008»
16 years 1 months ago
Clustering and the Biclique Partition Problem
A technique for clustering data by common attribute values involves grouping rows and columns of a binary matrix to make the minimum number of submatrices all 1’s. As binary mat...
Doina Bein, Linda Morales, Wolfgang W. Bein, C. O....
GLOBECOM
2007
IEEE
16 years 1 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