Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

May 1993, Vol. 5, No. 3, Pages 430-442
(doi: 10.1162/neco.1993.5.3.430)
© 1993 Massachusetts Institute of Technology
Surface Interpolation Networks
Article PDF (1.15 MB)
Abstract

Orthogonal wavelets can be used as models for receptive fields in the human visual system. They may also be used to solve spatial interpolation problems formulated either as regularization or 2-D Kalman filtering. The solutions take the form of simple feedback networks, and only a few iterations are required for convergence.