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» A decentralized algorithm for spectral analysis
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STOC
2004
ACM
91views Algorithms» more  STOC 2004»
14 years 5 months ago
A decentralized algorithm for spectral analysis
David Kempe, Frank McSherry
ESANN
2008
13 years 6 months ago
Generalized matrix learning vector quantizer for the analysis of spectral data
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...
IJCNN
2006
IEEE
13 years 10 months ago
Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm
— Recent work has revealed a close connection between certain information theoretic divergence measures and properties of Mercer kernel feature spaces. Specifically, it has been...
Robert Jenssen, Deniz Erdogmus, Jose C. Principe
LADC
2011
Springer
12 years 7 months ago
Timing Analysis of Leader-Based and Decentralized Byzantine Consensus Algorithms
—We compare in an analytical way two leader-based and decentralized algorithms (that is, algorithms that do not use a leader) for Byzantine consensus with strong validity. We sho...
Fatemeh Borran, Martin Hutle, André Schiper
IGARSS
2009
13 years 2 months ago
Parallel Implementation of Endmember Extraction Algorithms using NVidia Graphical Processing Units
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
Antonio Plaza, Javier Plaza, Sergio Sánchez