62 citations · 105 across the 12 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
stat.ML2018★ 1 cited
Nonnegative PARAFAC2: a flexible coupling approach
Jeremy E. Cohen, Rasmus Bro
Modeling variability in tensor decomposition methods is one of the challenges of source separation. One possible solution to account for variations from one data set to another, jo…
stat.ML2018
Curve Registered Coupled Low Rank Factorization
Jeremy Emile Cohen, Rodrigo Cabral Farias, Bertrand Rivet
We propose an extension of the canonical polyadic (CP) tensor model where one of the latent factors is allowed to vary through data slices in a constrained way. The components of t…