What SVD does is to represent the matrix A as a product of different matrices U, Σ and V so that A[mxn] = U[mxr]ΣrxrT. According to theory, there is always a possible unique way to decompose a real ...

Singular Value Decomposition (SVD) based Movie Recommendation. Below is an implementation of singular value decomposition (SVD) based on collaborative filtering in the task of movie recommendation.

Based on SVD image compression, this paper proposes a new method for determining the first K eigenvalues. The method of the matrix singular value decomposition to determine the first K eigenvalues is ...

In the recent years, security for multimedia data has under threat with high usage of Internet and image editing tools. In this paper, an Optimal SVD-DWT based Digital watermarking is employed to ...