45 search results - page 6 / 9 » Tensor-Variate Restricted Boltzmann Machines |
NECO
2010
13 years 8 months ago
2010
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicat...
AAAI
2011
12 years 9 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
NIPS
2003
13 years 11 months ago
2003
This paper presents VLSI circuits with continuous-valued probabilistic behaviour realized by injecting noise into each computing unit(neuron). Interconnecting the noisy neurons fo...
ICPR
2010
IEEE
14 years 3 months ago
2010
IEEE
—In this paper we evaluate the use of Restricted Bolzmann Machines (RBM) in the context of learning and recognizing human actions. The features used as basis are binary silhouett...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...