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stat.CO2019★ 1 cited
Properties of the Stochastic Approximation EM Algorithm with Mini-batch Sampling
Tabea Rebafka, Estelle Kuhn, Catherine Matias
To deal with very large datasets a mini-batch version of the Monte Carlo Markov Chain Stochastic Approximation Expectation-Maximization algorithm for general latent variable models…
stat.CO2007
Construction of Bayesian Deformable Models via Stochastic Approximation Algorithm: A Convergence Study
Stéphanie Allassonnière, Estelle Kuhn, Alain Trouvé
The problem of the definition and the estimation of generative models based on deformable templates from raw data is of particular importance for modelling non aligned data affecte…