Abstract: Generating highly accurate predictions for missing quality-of-service (QoS) data is an important issue. Latent factor (LF)-based QoS-predictors have proven to be effective in dealing with it ...

Abstract: Seismic data are inevitably polluted by noise, which has a significant impact on subsequent applications. Currently, regularization-based methods that utilize interpretable data priors are ...