Multistep Inverse Is Not All You Need. Alexander Levine, Peter Stone, and Amy Zhang. @Article{alexander_levine_RLC_2024, author = {Alexander Levine and Peter Stone and Amy Zhang}, title = {Multistep ...

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...

Fingerprint matrices transform scattered light into clear images, overcoming challenges in opaque environments and paving the ...

A basic implementation of a daemonizable FTP server written in pure C. Also includes a client module that runs independently, with the ability to connect multiple unique instances of itself to the ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

We’ve all heard those crazy claims when it comes to hair growth that brands or people on the internet swear grew their hair 3 inches overnight (in case you were wondering, no, that’s just not possible ...

Matrix factorization techniques, such as principal component analysis (PCA) and independent component analysis (ICA), are widely used to extract geological processes from geochemical data. However, ...