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k-means is a special case of the EM algorithm

Kushal et al. use an EM algorithm to integrate audio-visual information for active speaker localization statically and over time.

Deneve describes how neurons performing Bayesian inference on variables behind Poisson inputs can learn the parameters of the Poisson processes in an online variant of the expectation maximization (EM) algorithm.

Deneve associates her EM-based learning rule in Bayesian spiking neurons with spike-time dependent plasticity (stdp)