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Proceedings Paper

Creating a biologically plausible model of recognition which generalizes multidimensional scaling
Author(s): Hawley K. Rising
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Paper Abstract

We present a method for reconstructing multidimensional scaling (MDS) as a biologically plausible algorithm for storing object data. To do so, we must make modifications in the definitions of stress, and in locating the process. We make these modifications by appealing to physical definitions of stress and deformation. In this system, classical MDS becomes the system in which these are modeled on perfectly elastic deformation, and a variety of systems can be created or trained which are, by contrast, viscoelastic. The resultant model is useful in applications in which the relationship between stress and the underlying metric used for MDS is complicated by local phenomena, or in which these quantities need to be modeled as learned or changing attributes.

Paper Details

Date Published: 19 May 1999
PDF: 10 pages
Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); doi: 10.1117/12.348462
Show Author Affiliations
Hawley K. Rising, MediaSoft/Sony Corp. (United States)


Published in SPIE Proceedings Vol. 3644:
Human Vision and Electronic Imaging IV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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