Based on Dither-dream, this is a new tool extending the possibilities to explore variations on the Floyd-Steinberg dithering algorithm. Dithering is a technique used in digital imaging to create the ...

Abstract: Starting from first graph signal processing (GSP) principles, we present a novel model-based deep learning approach to blind deconvolution of sparse graph signals. Despite the bilinear ...

Abstract: Anomaly detection needs to learn one-class classifiers from normal instances in observation or feature spaces. In the Neyman–Pearson criterion, the design of one-class classifiers boils down ...

I noticed that the Graph Algorithms section does not yet include the interactive and educational features that were recently introduced in the Sorting Algorithms page I would like to contribute by ...