most citedStochastic tensor space feature theory with applications to robust machine learning

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Stochastic tensor space feature theory with applications to robust machine learning

Julio Enrique Castrillon-Candas, Kaili Shi, Dingning Liu +5

In this paper we develop a Multilevel Orthogonal Subspace (MOS) Karhunen--Loève feature theory based on stochastic tensor spaces, for the construction of robust machine learning fe…