Abstract: A computational problem that arises frequently in computer vision is that of estimating the parameters of a model from data that have been contaminated by noise and outliers. More generally, ...

Abstract: The accuracy of the adaptive cross approximation (ACA) algorithm, a popular method for the compression of low-rank matrix blocks in method of moment ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

Avon Primary Care Research Collaborative, Bristol Primary Care Trust, Bristol, UK Professor J Hippisley-Cox, Division of Primary Care, 13th Floor, Tower Building, University Park, Nottingham NG2 7RD, ...

AndroGuider is a blog where you can scoop your daily need of tech information with some dose of special reviews and custom ...

A Stanford study reveals how AI hiring tools can pass bias audits while still discriminating by race and role Most companies ...

In the early morning hours of Nov. 9, 2016, news networks called Wisconsin for Donald Trump, cementing his victory over Hillary Clinton. Most voters were surprised, both candidates were shocked and ...

The approach is known for high accuracy, but scaling it up while preserving that accuracy is technically difficult. Helios ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Software Design Cooley-Tukey DIT-FFT Algorithm was implement using MATLAB to compare the results with the built-if function fft as depicted form the following figures the result of the built-in ...

A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...