613 search results - page 57 / 123 » Learning the Structure of Linear Latent Variable Models |
144
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
154
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CORR
2012
Springer
13 years 11 months ago
2012
Springer
Models of bags of words typically assume topic mixing so that the words in a single bag come from a limited number of topics. We show here that many sets of bag of words exhibit a...
143
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ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
121
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NIPS
2001
15 years 4 months ago
2001
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
121
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JMLR
2008
15 years 3 months ago
2008
In this paper, we propose a recursive method for structural learning of directed acyclic graphs (DAGs), in which a problem of structural learning for a large DAG is first decompos...