no code implementations • International Journal of Data Science and Analytics 2020 • Yoshinao Ishii, Satoshi Koide, Keiichiro Hayakawa
To address this issue, we propose a novel reconstruction-based method: “L0-norm constrained autoencoders (L0-AE).” L0-AE uses autoencoders to learn low-dimensional manifolds that capture the nonlinear features of the data and uses a novel optimization algorithm that can decompose the data under the L0-norm constraints on the error matrix.