KFCE: A dictionary generation algorithm for sparse representation

An adaptive basis estimation method for compressed sensing with applications to missing data reconstruction

“…This method involves iterative computation of Singular Value Decomposition (SVD) of residual matrix as well as computation of inverse of the obtained matrix. In a different work, Xie and Feng (2009) propose the Kernel Fuzzy Codebook Estimation (KFCE) algorithm, which integrates the distance kernel trick with fuzzy clustering algorithm to obtain the basis matrix . A major shortcoming that is common to all the aforementioned techniques is that they require complete data to construct the basis matrix, which restricts their usage in applications with missing data.…”