327 search results - page 42 / 66 » Density Estimation by Mixture Models with Smoothing Priors |
CORR
2008
Springer
13 years 7 months ago
2008
Springer
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
DSMML
2004
Springer
14 years 28 days ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
NIPS
2007
13 years 9 months ago
2007
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
UAI
2008
13 years 9 months ago
2008
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
Quantization-based watermarking schemes are vulnerable to amplitude scaling. Therefore, the scaling factor needs to be estimated at the decoder side, such that the received (attac...