223 search results - page 9 / 45 » Spectral Learning |
NIPS
2003
13 years 9 months ago
2003
NECO
2008
13 years 8 months ago
2008
JMLR
2010
13 years 3 months ago
2010
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
ICMCS
2007
IEEE
14 years 2 months ago
2007
IEEE
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...