ML Anthology

Surface Interpolation Networks

Alex Pentland
NeCo 1993 pp. 430-442
doi:10.1162/NECO.1993.5.3.430 /neco/1993/pentland1993neco-surface/

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.

NeCo Semantic Scholar

Cite

Text

Pentland. "Surface Interpolation Networks." Neural Computation, 1993. doi:10.1162/NECO.1993.5.3.430

Markdown

[Pentland. "Surface Interpolation Networks." Neural Computation, 1993.](https://mlanthology.org/neco/1993/pentland1993neco-surface/) doi:10.1162/NECO.1993.5.3.430

BibTeX

@article{pentland1993neco-surface,
  title     = {{Surface Interpolation Networks}},
  author    = {Pentland, Alex},
  journal   = {Neural Computation},
  year      = {1993},
  pages     = {430-442},
  doi       = {10.1162/NECO.1993.5.3.430},
  volume    = {5},
  url       = {https://mlanthology.org/neco/1993/pentland1993neco-surface/}
}