Robust Tensor Tracking With Missing Data and Outliers: Novel Adaptive CP Decomposition and Convergence AnalysisIEEE Transactions on Signal Processing - Tập 70 - Trang 4305-4320 - 2022
Le Trung Thanh, Karim Abed-Meraim, Nguyen Linh Trung, Adel Hafiane
Canonical Polyadic (CP) decomposition is a powerful multilinear algebra tool for
analyzing multiway (a.k.a. tensor) data and has been used for various signal
processing and machine learning applications. When the underlying tensor is
derived from data streams, adaptive CP decomposition is required. In this paper,
we propose a novel method called robust adaptive CP decomposition (RACP) for
dealing ... hiện toàn bộ
#CANDECOMP/PARAFAC (CP) decomposition #adaptive algorithm #streaming tensor #missing data #outlier