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This paper introduces a fast Bayesian online expectation maximiza-tion (BOEM) algorithm for multinomial mixtures. Using some properties of the Dirichlet distribution, we derive expressions for adaptive learning rates that depend solely on the data and the prior's hyper-parameters. As a result, we avoid the problem of having to tune the learning rates using(More)
We present a novel, flexible, statistical approach to modeling music, images and text jointly. The technique is based on multi-modal mixture models and efficient computation using online EM. The learned models can be used to browse mul-timedia databases, to query on a multimedia database using any combination of music, images and text (lyrics and other(More)
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