10 citations · 28 across the 9 of their papers we have counts for
Showing 2009 · stat.MLShow all
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stat.ML2009★ 6 cited
On the numeric stability of the SFA implementation sfa-tk
Wolfgang Konen
Slow feature analysis (SFA) is a method for extracting slowly varying features from a quickly varying multidimensional signal. An open source Matlab-implementation sfa-tk makes SFA…
stat.ML2009★ 2 cited
How slow is slow? SFA detects signals that are slower than the driving force
Wolfgang Konen, Patrick Koch
Slow feature analysis (SFA) is a method for extracting slowly varying driving forces from quickly varying nonstationary time series. We show here that it is possible for SFA to det…