111 citations · 555 across the 19 of their papers we have counts for
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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…
Asymptotic and bootstrap tests for subspace dimension
Klaus Nordhausen, Hannu Oja, David E. Tyler
Most linear dimension reduction methods proposed in the literature can be formulated using an appropriate pair of scatter matrices, see e.g. Ye and Weiss (2003), Tyler et al. (2009…
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…
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…