Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI: | http://purl.tuc.gr/dl/dias/285CC582-D9A2-4892-A1C7-F42A176CBE38 | ||
| Έτος | 2022 | ||
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | A. P. Liavas, I. M. Papagiannakos and C. Kolomvakis, "Nonnegative tensor completion: step-sizes for an accelerated variation of the stochastic gradient descent," in Proceedings of the 30th European Signal Processing Conference (EUSIPCO 2022), Belgrade, Serbia, 2022, pp. 1976-1980, doi: 10.23919/EUSIPCO55093.2022.9909736. https://doi.org/10.23919/EUSIPCO55093.2022.9909736 | ||
| Εμφανίζεται στις Συλλογές |
We consider the problem of nonnegative tensor completion. We adopt the alternating optimization framework and solve each nonnegative matrix least-squares problem via an accelerated variation of the stochastic gradient descent. The step-sizes used by the algorithm determine, to a high extent, its behavior. We propose two new strategies for the computation of step-sizes and we experimentally test their effectiveness using both synthetic and real-world data.
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