A tunable one-parameter family of powers of the empirical covariance or precision matrix serves as structure-informed features for supervised detection of critical events, with a claimed proof of structural consistency and competitive results on seizure and churn data.
Progressive Fourier Transform (PFT): Enhancing time-frequency representation of EEG signals for stress and seizure detection
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The Powers of Precision: Structure-Informed Detection in Complex Systems -- From Customer Churn to Seizure Onset
A tunable one-parameter family of powers of the empirical covariance or precision matrix serves as structure-informed features for supervised detection of critical events, with a claimed proof of structural consistency and competitive results on seizure and churn data.