Incremental learning with Gaussian mixture models

  title={Incremental learning with Gaussian mixture models},
  author={Matej Kristan and Danijel Skocaj and Alex0161 Leonardis},
In this paper we propose a new incremental estimation of Gaussian mixture models which can be used for applications of online learning. Our approach allows for adding new samples incrementally as well as removing parts of the mixture by the process of unlearning. Low complexity of the mixtures is maintained through a novel compression algorithm. In contrast to the existing approaches, our approach does not require fine-tuning parameters for a specific application, we do not assume specific… CONTINUE READING

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