75 search results - page 5 / 15 » Sparse Feature Learning for Deep Belief Networks |
100
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper we present a method for learning classspecific
features for recognition. Recently a greedy layerwise
procedure was proposed to initialize weights of deep
belief ne...
98
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JMLR
2010
14 years 8 months ago
2010
PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easyto-use yet still powerful algorithms for machine learning tasks, including a vari...
102
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CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
This paper investigates how to parse (segment) facial components from face images which may be partially occluded. We propose a novel face parser, which recasts segmentation of fa...
106
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UMUAI
1998
14 years 9 months ago
1998
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
97
Voted
JMLR
2010
14 years 4 months ago
2010
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...