Sentence examples for output at scale from inspiring English sources

Top right Enlarged DoG output at scale 8 (( sigma_{c} = 8 )) in the edge map.

The DoG output at scale 2 (( sigma_{c} = 2 )) has been enlarged and displayed on top of the figure, next to the original pattern.

The Munsterberg pattern and the DoG output at scale 8 (( sigma_{c} = 8 )) have been shown on top, followed by the multiple-scale edge map of the pattern at six different scales at the bottom half of the figure.

(Color figure online) Open image in new window Fig. 6 Top left Complex Bulge pattern (574 × 572 px) and top right The DoG output at scale 2 (( sigma_{c} = 2 ))—enlarged that highlights the bulge effect in the pattern.

Fortunately, the Internet and information technologies are helping us manage, search and retrieve our collective intellectual output at different scales, from Twitter and previews to e-books and online encyclopedias.

The DoG output at fine scales (( sigma_{c} = 1,,{text{to}},33 )) in Fig. 6 highlights a grouping of connected superimposed small dots together, which has a close connection to 'Similarity', 'Continuity' and 'Connectivity' in the Gestalt grouping principles.

At the next scale (( sigma_{c} = 20 )), there is no grouping visible of the tiles and mortar cues, although the appearance of tiles as wedge shape provides a cue to support the near-horizontally diverging and converging perception of the location of the mortar lines, even without the appearance of them in the DoG output at coarse scales.

In the study, GCM outputs at global scale has been statistically downscaled to a point scale.

Other tools that produce outputs at broader scale extents generally utilize coarser input topographic data to produce more poorly resolved valley bottom approximations.

For this purpose we modified an existing economic model of agriculture, the Land-Use Allocation Model (LUAM) to provide outputs at a scale appropriate for informing a semi-quantitative landscape assessment at the level of 'Joint Character Areas' (JCAs).

Additionally, SWATShare can create dynamic spatial and temporal plots of model outputs at different scales.