About This set of Matlab functions contain the core code to reproduce the results of SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery.

This scikit-sparse a companion to the scipy.sparse library for sparse matrix manipulation in Python. It provides routines that are not suitable for inclusion in scipy.sparse proper, usually because ...

In this article, we present a hardware architecture optimized for sparse and dense matrix processing in TensorFlow Lite and compatible with embedded-heterogeneous devices that integrate central ...

On China’s Qiantang River, witnesses recently observed an extraordinary “matrix tide,” where colliding tidal bores formed a grid of waves unlike anything previously explained. Now, researchers using ...

Sparse matrix operations are critical kernels in multiple application domains such as High Performance Computing, artificial intelligence and big data. Vector processing is widely used to improve ...