Simplifying Mixture Models Through Function Approximation

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Overcoming Catastrophic Forgetting by Incremental Moment Matching (2017, background): “The objective function of mean-IMM is to minimize the following local KL-distance or the weighted sum of KL-divergence between each qk and q1:K [11, 18]:”
Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering (2011, background): “Over the past decades, a large family of clustering algorithms such as K -means clustering and mixture models [2]–[4] have been widely studied.”
Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos (2022, methodology): “We don’t use KLD (Kullback-Leibler Divergence) metric [10] as it is known to be sensitive to the tail of the distributions [4,63,91].”