TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...
Abstract: We propose a randomized version of the nonlocal means (NLM) algorithm for large-scale image filtering. The new algorithm, called Monte Carlo nonlocal means (MCNLM), speeds up the classical ...
Introduction Women with high-risk pregnancies (eg, pre-eclampsia, imminent preterm birth) are often hospitalised due to the need for foetal and maternal monitoring. They are monitored for 30–45 min up ...
Abstract: In the study of compressed sensing (CS), the two main challenges are the design of sampling matrix and the development of reconstruction method. On the one hand, the usually used random ...
Survey researchers increasingly recognize that a single survey of the general public can rarely represent the views of small groups of Americans. Such surveys frequently have too few interviews with ...
What is stratified random sampling? Stratified random sampling is the technique of breaking the population of interest into groups (called strata) and selecting a random sample from within each of ...
Public Editor’s Note: Almost every day, in our Public Broadcasting Service Public Editor’s email box, we receive written questions and concerns from confused or misdirected audience members who ...
A new telephone survey experiment finds that, despite major structural differences, an opinion poll drawn from a commercial voter file can produce results similar to those from a sample based on ...