Correlation - look for the same pattern in different places. Big, common
themes may reinforce and stand out while others cancel each other out.
Could be over time over space (people). A very powerful variation of
this is across domains. Seeing the correlation between the work in
thermodynamics and in graphics could lead you to radiosity.
Distance - looking at something closer or farther away can allow us
to
see patterns that we couldn't see before. The classic "forest for the
trees" problem.
Filter noise out - removing data out of scale can make the valuable
data
pop out. For instance, dropping the high frequency, periodic noise
from
an image can clear it up.
Perspective - similar to distance in some ways, the ability to change
your point of view can have a big impact on what you see.
A Joint Effort of John Sosoka
& Jan Hardenbergh Have ideas?
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eMail to YON