45 search results - page 7 / 9 » Tensor-Variate Restricted Boltzmann Machines |
UAI
1996
13 years 11 months ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
ECCV
2010
Springer
14 years 3 months ago
2010
Springer
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
NIPS
2000
13 years 11 months ago
2000
In this paper, we derive a second order mean field theory for directed graphical probability models. By using an information theoretic argument it is shown how this can be done in...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
ICANN
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. A previous paper [2] presented a model (UCPF-HC) of the hippocampus as a unitary coherent particle filter, which combines the classical hippocampal roles of associative m...