Paper
19 May 1999 Creating a biologically plausible model of recognition which generalizes multidimensional scaling
Author Affiliations +
Proceedings Volume 3644, Human Vision and Electronic Imaging IV; (1999) https://doi.org/10.1117/12.348462
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hawley K. Rising III "Creating a biologically plausible model of recognition which generalizes multidimensional scaling", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348462
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KEYWORDS
Visual process modeling

Detection and tracking algorithms

Visualization

3D modeling

Data modeling

Fuzzy logic

Optical spheres

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