Online nonnegative CP decomposition

Online Nonnegative CP Decomposition is a method for the online nonnegative decomposition of tensor data, designed to capture dynamic changes in the data through continuous updates of low-rank approximations. This method can process large-scale, high-dimensional nonnegative tensors in real-time within data streams, achieving efficient data compression and feature extraction. It is widely applied in fields such as signal processing, image analysis, and recommendation systems, contributing to enhanced real-time performance and robustness of models.