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Online change-point detection with kernels
Change-points in time series data are usually defined as the time instants at which changes in their properties occur.
Sketching for Large-Scale Learning of Mixture Models
We propose a "compressive learning" framework where we estimate model parameters from a sketch of the training data.
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