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Found 2 papers, 1 papers with code
Balancing Interpretability and Predictive Accuracy for Unsupervised Tensor Mining
Previously, we have proposed an automated tensor mining method which leverages a well-known quality heuristic from the field of Chemometrics, the Core Consistency Diagnostic (CORCONDIA), in order to automatically determine the rank for the PARAFAC decomposition.
A Time-Frequency Domain Approach of Heart Rate Estimation From Photoplethysmographic (PPG) Signal
Significance- The proposed method offers very low estimation error and a smooth heart rate tracking with simple algorithmic approach and thus feasible for implementing in wearable devices to monitor heart rate for fitness and clinical purpose.
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