Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance and motion. One drawback of typical PCA methods is that they are least squares estimation techniques ...

In this article, we propose a low-complexity quantum principal component analysis (qPCA) algorithm. Similar to the state-of-the-art qPCA, it achieves dimension reduction by extracting principal ...

The easiest way to get started with the Control Systems library is using Conda. The Control Systems library has packages available using the conda-forge Conda channel, and as of Slycot version 0.3.4, ...

This repository provides unofficial binary wheels for some geospatial libraries for Python on Windows. The files are unofficial (meaning: informal, unrecognized, personal, unsupported, no warranty, no ...