7 search results - page 2 / 2 » Spectral Energy Minimization for Semi-supervised Learning |
PAKDD
2004
ACM
13 years 10 months ago
2004
ACM
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Diffusion Maps (DiffMaps) has recently provided a general framework that unites many other spectral manifold learning algorithms, including Laplacian Eigenmaps, and it has become ...