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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)⇒