75 search results - page 8 / 15 » Boltzmann Machines |
NIPS
2000
14 years 11 months ago
2000
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
CVPR
2010
IEEE
14 years 9 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
NECO
1998
14 years 9 months ago
1998
CORR
2011
Springer
14 years 4 months ago
2011
Springer
73
Voted
NIPS
2000
14 years 11 months ago
2000
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...