42 citations · 237 across the 36 of their papers we have counts for
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math.ST2016★ 14 cited
Projection Pursuit for non-Gaussian Independent Components
Joni Virta, Klaus Nordhausen, Hannu Oja
In independent component analysis it is assumed that the observed random variables are linear combinations of latent, mutually independent random variables called the independent c…
math.ST2016★ 11 cited
JADE for Tensor-Valued Observations
Joni Virta, Bing Li, Klaus Nordhausen +1
Independent component analysis is a standard tool in modern data analysis and numerous different techniques for applying it exist. The standard methods however quickly lose their e…
math.ST2016★ 42 cited
Independent component analysis for tensor-valued data
Joni Virta, Bing Li, Klaus Nordhausen +1
In preprocessing tensor-valued data, e.g. images and videos, a common procedure is to vectorize the observations and subject the resulting vectors to one of the many methods used f…