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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

math.FA2026

Karhunen Loève Expansions of Hilbert Space-Valued Random Elements

Trajan Murphy

The Karhunen-Loève Expansion (KLE) of a stochastic process is a well understood eigenfunction expansion used widely in time series analysis, stochastic PDEs, and signal processing.…

stat.ML2021★ 1 cited

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…