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cs.LG2019★ 6 cited
Solving general elliptical mixture models through an approximate Wasserstein manifold
Shengxi Li, Zeyang Yu, Min Xiang +1
We address the estimation problem for general finite mixture models, with a particular focus on the elliptical mixture models (EMMs). Compared to the widely adopted Kullback-Leible…
cs.NE2019
Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models
Zeyang Yu, Shengxi Li, Danilo Mandic
We propose a new structure for the complex-valued autoencoder by introducing additional degrees of freedom into its design through a widely linear (WL) transform. The corresponding…