How to select features for 2D matrix data directly is still an uninvestigated important issue. In this paper, we propose an algorithm named sparse matrix regression (SMR) for direct feature selection ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

There was an introduction of Pyrus, which was a Python-based platform for the simulation of Robocup. Researchers from Dalhousie University and Memorial University of Canada published a research paper ...

The imaging devices sense light reflected from objects and reconstruct images using the 2D-sensor matrix. It is a 2D Cartesian coordinate system where the depth dimension is absent. The absence of a ...

Discover an efficient algorithm for solving PDEs involving the Laplacian in 2D. Our method guarantees high precision and efficiency in solving differential equations. Explore the power of the ...