253 search results - page 14 / 51 » Principal Graphs and Manifolds |
86
Voted
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...
104
Voted
WEBI
2005
Springer
15 years 4 months ago
2005
Springer
In this work, we show that Kleinberg’s hubs and authorities model (HITS) is simply Principal Components Analysis (PCA; maybe the most widely used multivariate statistical analys...
ICASSP
2009
IEEE
15 years 3 months ago
2009
IEEE
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
102
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CDC
2009
IEEE
15 years 3 months ago
2009
IEEE
Abstract— The present paper considers distributed consensus algorithms for agents evolving on a connected compact homogeneous (CCH) manifold. The agents track no external referen...
JMLR
2010
14 years 6 months ago
2010
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic fun...