most citedEstimating Driving Forces of Nonstationary Time Series with Slow Feature Analysis

41 citations · 41 across the 1 of their papers we have counts for

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cond-mat.stat-mech2003★ 41 cited

Estimating Driving Forces of Nonstationary Time Series with Slow Feature Analysis

Laurenz Wiskott

Slow feature analysis (SFA) is a new technique for extracting slowly varying features from a quickly varying signal. It is shown here that SFA can be applied to nonstationary time…