This article introduces the functional tensor singular value decomposition (FTSVD), a novel dimension reduction framework for tensors with one mode and several tabular modes. The problem is motivated by high-order longitudinal data analysis. Our model assumes observed to be random realization of an approximate CP low-rank measured on discrete time grid. Incorporating algebra theory reproducing ...

Watermarking operation can be defined as a process of embedding special wanted and reversible information in important secure files to protect the ownership or cover file based on proposed singular value decomposition (SVD) watermark. The method for digital watermark has very huge domain constructing final number this mean protecting from conflict. is image need protected. A hidden unique extra...

Singular value decomposition (SVD) is a fundamental technique widely used in various applications, such as recommendation systems and principal component analyses. In recent years, the need for privacy-preserving computations has been increasing constantly, which concerns SVD well. Federated emerged promising approach that enables collaborative computation without sharing raw data. However, exi...