On Wednesday 29 November 2006 16:04, Philip Goetz wrote:
> On 11/29/06, J. Storrs Hall, PhD. <[EMAIL PROTECTED]> wrote:
> > There will be many occurances of the smaller subregions, corresponding to
> > all different sizes and positions of Tom's face in the raster. In other
> > words, the Tom's face region is fractal.
>
> Are you saying that a hierarchy of categories is just a linear chain
> of resolutions?

A *linear* chain of resolutions would be just one root-to-leaf path in an 
abstraction tree (root=lo-res, leaves = all the hi-res pix that would map 
into that lo-res one).  The whole tree would be a hierarchy of categories.

> I don't see why you need to work with multiple dimensionalities - at
> least, when identifying Tom's face, you need only deal with one
> dimensionality, although you might use fewer dimensions when looking
> for any old human face.

At the raster level, you can brighten or dim any one pixel without 
substantially changing whose face it is. At higher levels of abstraction you 
can move the vector along dimensions of lighting, orientation, and size 
without changing whose face it is. These invariants can be captured by 
transformations or projections in the space -- they're the kind of regularity 
that I'm trying to capture implicitly by using n-spaces, rather than having 
to represent explicitly in pointer-and-tag record structures.

--Josh

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