Deep belief network

Known as: Deep Belief Networks, Deep belief net 
In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively a type of deep neural network, composed of… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1985-2018
010020019852018

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
A training process for facial expression recognition is usually performed sequentially in three individual stages: feature… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Is this relevant?
Highly Cited
2012
Highly Cited
2012
Gaussian mixture models are currently the dominant technique for modeling the emission distribution of hidden Markov models for… (More)
  • figure 2
  • figure 1
  • figure 3
  • figure 4
  • figure 7
Is this relevant?
Highly Cited
2012
Highly Cited
2012
We propose a novel context-dependent (CD) model for large-vocabulary speech recognition (LVSR) that leverages recent advances in… (More)
  • figure 1
  • table I
  • table II
  • table IV
  • table V
Is this relevant?
Highly Cited
2010
Highly Cited
2010
We explore an original strategy for building deep networks, based on stacking layers of denoising autoencoders which are trained… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2009
Highly Cited
2009
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling… (More)
Is this relevant?
Highly Cited
2009
Highly Cited
2009
Hidden Markov Models (HMMs) have been the state-of-the-art techniques for acoustic modeling despite their unrealistic… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
Highly Cited
2009
Highly Cited
2009
In recent years, deep learning approaches have gained significant interest as a way of building hierarchical representations from… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 2
  • table 4
Is this relevant?
Highly Cited
2008
Highly Cited
2008
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for… (More)
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • table 2
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more… (More)
  • figure 1
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Motivated in part by the hierarchical organization of the cortex, a number of algorithms have recently been proposed that try to… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 6
Is this relevant?