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A search by Illinois State Police of Internet mapping companies led to an exact match between features on a map sent to the Post-Dispatch and one found on Expedia.com.
According to Treisman and her colleagues, object recognition proceeds in three stages: first feature detection, then location of features on a map of locations, and then integration and identification of objects under concepts.
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Via edge detection, the information which is contained within the entire image pixel set is displayed in a form that helps the user to focus on the main features of a map and to interpret them in terms of geological structures (Hornby et al., 1999).
They visited some of the target sites, which featured on a map posted online last month, and were met everywhere with lines of police.
The roundhouses, which included engine sheds and turntables, feature on a map of York station dating from the 1880s.
The QTL is displayed as a feature on a map in the comparative map viewer, CMap (http://gmod.org/wiki/CMap) and in the rice genome browser.
A new feature on a mapping Web site allows users to track New York City's changing landscape by comparing aerial photographs taken in 1996 and 2004.
For example, Coulton et al. [3] used abstraction of features on a digital map of a location based game in order to encourage "head-up" navigation, which contributed to the engagement of players with their natural surroundings.
To collect feature use among controls, trained research assistants (RAs) at the bottom of the hill observed snowboarders' TP runs in 3 h time slots, 3 4 times a week at various times during the day, and recorded feature use on a map.
It was designed to work with expression data from microarrays containing large number of features (Np > 10), allowing one to analyse the distribution of all features on a microarray mapped to a three dimensional space composed of average difference of feature expression (logarithm of fold change), total variance and average expression level.
This paper presents the description of a method, called the distributional fold change (DFC) test, which is based on the analysis of the distribution of intensities of all features on a microarray mapped to a three dimensional feature space composed of the average difference of gene expression (logarithm of fold change), total variance and average expression level.
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