Controlled redundancy in interpolation-based neural nets

Harsha M. Wabgaonkar; Allen R. Stubberud

doi:10.1117/12.135131

1 February 1992 Controlled redundancy in interpolation-based neural nets

Harsha M. Wabgaonkar, Allen R. Stubberud

Proceedings Volume 1610, Curves and Surfaces in Computer Vision and Graphics II; (1992) https://doi.org/10.1117/12.135131
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

In this paper, we deal with the problem of associative memory synthesis via multivariate interpolation. We present an abstract yet simple formalism to address the possibility of detecting and eliminating redundant input data from the set of exemplars. The remaining pairs are then stored in a way so as to introduce controlled redundancy by replication of the corresponding neurons. The redundancy is detected via orthogonalization carried out in a Reproducing Kernel Hilbert Space setting.

Citation Download Citation

Harsha M. Wabgaonkar and Allen R. Stubberud "Controlled redundancy in interpolation-based neural nets", Proc. SPIE 1610, Curves and Surfaces in Computer Vision and Graphics II, (1 February 1992); https://doi.org/10.1117/12.135131

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