297 search results - page 37 / 60 » Topologically-constrained latent variable models |
NIPS
1996
13 years 11 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We present topic-regression multi-modal Latent Dirichlet Allocation (tr-mmLDA), a novel statistical topic model for the task of image and video annotation. At the heart of our new...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
We present topic-regression multi-modal Latent Dirichlet Allocation (tr-mmLDA), a novel statistical topic model for the task of image and video annotation. At the heart of our new...
NIPS
2004
13 years 11 months ago
2004
Directed graphical models with one layer of observed random variables and one or more layers of hidden random variables have been the dominant modelling paradigm in many research ...
ICTAI
2009
IEEE
14 years 4 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...