1175 search results - page 18 / 235 » A Model for Structural Changes of Belief |
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
138
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
CIKM
1997
Springer
15 years 1 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
102
Voted
JMLR
2012
13 years 2 days ago
2012
Motivated by the observation that coarse and fine resolutions of an image reveal different structures in the underlying visual phenomenon, we present a model based on the Deep B...
ECRA
2002
14 years 9 months ago
2002
Two beliefs, ease of use and usefulness, have been considered to be fundamental in determining the acceptance of various IS in the past decades. These beliefs may not, however, fu...