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» Laplacian Spectrum Learning
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ICIP
2005
IEEE
11 years 5 months ago
Asymmetric spread spectrum data-hiding for Laplacian host data
Spread spectrum (SS) or known-host-statistics technique has shown the best performance in terms of both rate of reliable communications and bit error probability at the low waterm...
José-Emilio Vila-Forcén, Oleksiy J. ...
ICML
2009
IEEE
11 years 5 months ago
Spectral clustering based on the graph p-Laplacian
We present a generalized version of spectral clustering using the graph p-Laplacian, a nonlinear generalization of the standard graph Laplacian. We show that the second eigenvecto...
Matthias Hein, Thomas Bühler
COLT
2005
Springer
10 years 9 months ago
Towards a Theoretical Foundation for Laplacian-Based Manifold Methods
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed “manifold-motivatedâ€...
Mikhail Belkin, Partha Niyogi
NIPS
2004
10 years 5 months ago
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
Robert Jenssen, Deniz Erdogmus, José Carlos...
CORR
2010
Springer
89views Education» more  CORR 2010»
10 years 4 months ago
Distributed Control of the Laplacian Spectral Moments of a Network
It is well-known that the eigenvalue spectrum of the Laplacian matrix of a network contains valuable information about the network structure and the behavior of many dynamical proc...
Victor M. Preciado, Michael M. Zavlanos, Ali Jadba...
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