253 search results - page 26 / 51 » Principal Graphs and Manifolds |
105
Voted
CCE
2006
15 years 23 days ago
2006
Complex kinetic mechanisms involving thousands of reacting species and tens of thousands of reactions are currently required for the rational analysis of modern combustion systems...
94
Voted
NIPS
2007
15 years 2 months ago
2007
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
107
Voted
ESANN
2007
15 years 2 months ago
2007
Local algorithms for non-linear dimensionality reduction [1], [2], [3], [4], [5] and semi-supervised learning algorithms [6], [7] use spectral decomposition based on a nearest neig...
86
Voted
ICIP
2007
IEEE
15 years 7 months ago
2007
IEEE
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
112
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NIPS
2003
15 years 2 months ago
2003
Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...