Latent variable model

Known as: Latent trait, Latent-variable model 
A latent variable model is a statistical model that relates a set of variables (so-called manifest variables) to a set of latent variables. It is… (More)
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Natural image modeling is a landmark challenge of unsupervised learning. Variational Autoencoders (VAEs) learn a useful latent… (More)
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Highly Cited
2015
Highly Cited
2015
In this paper, we explore the inclusion of latent random variables into the dynamic hidden state of a recurrent neural network… (More)
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Highly Cited
2010
Highly Cited
2010
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing… (More)
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Highly Cited
2010
Highly Cited
2010
The rapid growth of geotagged social media raises new computational possibilities for investigating geographic linguistic… (More)
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Highly Cited
2008
Highly Cited
2008
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets… (More)
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Highly Cited
2007
Highly Cited
2007
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may… (More)
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Highly Cited
2007
Highly Cited
2007
WiFi localization, the task of determining the physical location of a mobile device from wireless signal strengths, has been… (More)
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Highly Cited
2007
Highly Cited
2007
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data… (More)
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Highly Cited
2003
Highly Cited
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation… (More)
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Highly Cited
1998
Highly Cited
1998
Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data… (More)
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