tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data

Tensor factorizations have been widely used for the task of uncovering patterns in various domains. Often, the input is time-evolving, shifting the goal to tracking the evolution of underlying patterns instead. To adapt to this more complex setting, existing methods incorporate temporal regularizati...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	Chatzis, Christos, Schenker, Carla, Pfeffer, Max, Acar, Evrim
Format:	Artikel
Sprache:	eng
Schlagworte:	Effectiveness Evolution Missing data Regularization Smoothness Tensors Tracking
Online-Zugang:	Volltext
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