106 citations · 127 across the 10 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2019
Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!
Niels Bruun Ipsen, Lars Kai Hansen
How does missing data affect our ability to learn signal structures? It has been shown that learning signal structure in terms of principal components is dependent on the ratio of…
stat.ML2018
Multi-View Bayesian Correlated Component Analysis
Simon Kamronn, Andreas Trier Poulsen, Lars Kai Hansen
Correlated component analysis as proposed by Dmochowski et al. (2012) is a tool for investigating brain process similarity in the responses to multiple views of a given stimulus. C…