Abstract

Adaptive Resonance is primarily a theory that learning is regulated by resonance phenomena in neural circuits. Diffusion maps are a class of kernel methods on edge-weighted graphs. While either of these approaches have demonstrated success in image analysis, their combination is particularly effective. These techniques are reviewed and some example applications are given.

Meeting Name

Model Reduction Across Disciplines (2014: Aug. 19-22, Leicester, United Kingdom)

Department(s)

Electrical and Computer Engineering

Comments

Invited Opening Keynote

Document Type

Video - Presentation

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2014 Donald C. Wunsch, Stephen Damelin, and Rui Xu, All rights reserved.


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