Abstract: Image convolution is an integral operator in the field of digital image processing. For any operation to be processed in images say whether it is edge detection, image smoothing, image ...

Convolution seems like a good target example for #270, since we’ll need a way to specify/navigate to the appropriate intermediate value for the weightedSum computation. Currently weightedSum is ...

Introduction: In recent years, lots of computational models have been proposed to infer potential lncRNA-disease associations. Methods: In this manuscript, we introduced a novel end-to-end learning ...

Try the Interactive Visualizer! - An interactive web-based visualization tool to help understand how convolution and cross-correlation algorithms work, with both naive and tiled implementations.

Abstract: Fourier-domain structured low-rank matrix priors are emerging as powerful alternatives to traditional image recovery methods such as total variation and wavelet regularization. These priors ...