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» A supervisory approach to semi-supervised clustering
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ICASSP
2010
IEEE
13 years 5 months ago
A supervisory approach to semi-supervised clustering
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
Bryan Conroy, Yongxin Taylor Xi, Peter J. Ramadge
EMNLP
2009
13 years 5 months ago
Multilingual Spectral Clustering Using Document Similarity Propagation
We present a novel approach for multilingual document clustering using only comparable corpora to achieve cross-lingual semantic interoperability. The method models document colle...
Dani Yogatama, Kumiko Tanaka-Ishii
IJCAI
2003
13 years 9 months ago
Spectral Learning
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...
AUTONOMICS
2009
ACM
14 years 2 months ago
Sensor Selection for IT Infrastructure Monitoring
Supervisory control is the main means to assure a high level performance and availability of large IT infrastructures. Applied control theory is used in physical and virtualization...
Gergely János Paljak, Imre Kocsis, Zolt&aac...
LCN
1999
IEEE
13 years 12 months ago
AQuaFWiN: Adaptive QoS Framework for Multimedia in Wireless Networks and Its Comparison with other QoS Frameworks
In a wireless environment, due to topology changes and characteristics of media (interference in radio signals) the bandwidth of a link is unpredictable and possibly very low, the...
Bobby Vandalore, Raj Jain, Sonia Fahmy, Sudhir S. ...