Weighted-data GMM @ IEEE TPAMI

Israel-Dejene Gebru, Xavier Alameda-Pineda, Florence Forbes and Radu Horaud

[Could not find the bibliography file(s)We recently got a paper accepted at TPAMI!

We had this crazy idea of mixture models that are trained with weighted-data. Imagine you want to train a GMM, and each data point comes with a weight denoting the relevance of the data point for the model.We also explored the case in which this external relevance information is taken into account under the form of a prior. This is useful in cases where the external information is inaccurate.

You are more than welcome to take a look at the preprint [?].


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