Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...
Standard tools like Singular Value Decomposition (SVD) are great for reducing data dimensionality, but their results can be hard to interpret. SVD creates "eigen-frames"—abstract, ghostly patterns ...
Abstract: Based on the Xilinx Zynq-7000 platform and the Vivado SDK toolbox, the C model of the matrix SVD decomposition module is established, and the writing, compiling and debugging of the matrix ...
Ground-penetrating radar (GPR) is a kind of high-frequency electromagnetic detection technology. It is mainly used to locate targets and interfaces in underground structures. In addition to the ...
Abstract: In this paper we investigate the parallelization of Hestenes-Jacobi method for computing the SVD of an mxn matrix using systolic arrays. In the case of real matrix an array of R 2 processors ...
There was an error while loading. Please reload this page. Ce projet Jupyter Notebook a pour objectif d'explorer l'Analyse en Composantes Principales (ACP) à travers ...
MILPITAS, CA, June 1, 2005 – Building upon its recent releases of matrix inversion and factorization parameterized cores, AccelChip Inc., the industry’s only provider of automated flows from ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback