Title

Rotation Invariant Neocognitron

Publication Type

Conference Proceeding Article

Publication Date

1991

Abstract

A biologically inspired method that would reduce the computation load of the neocognitron supervised model is proposed. This method also provides a way to extend the neocognitron's invariance properties to include rotation invariance. The key idea is to incorporate a magnocellular pathway into Fukushima'a algorithm. A basic shift in the paradigm is that an input is said to be recognized when and only when one of the winners of the magnocellular pathway is validated by the parvocellular pathway. This is a modification of the original model where only the activities of the (parvocellular) grandmother cells indicate recognition. The rotation invariance comes easily by making the magnocellular pathway produce an orientation winner for each grandmother cell, exploiting the Zk-symmetry in the cell-planes of the first stage. Then, with another round of competition, the magnocellular pathway submits a few hypotheses for validification. The author has implemented this method on transputers. The simulation program can recognize numerals in arbitrary orientation

Discipline

Physical Sciences and Mathematics

Research Areas

Quantitative Finance

Publication

1991 IEEE International Joint Conference on Neural Networks: 18-21 November 1991, Singapore

Volume

3

First Page

2216

Last Page

2221

ISSN

9780780302297

Identifier

10.1109/IJCNN.1991.170717

Publisher

IEEE

City or Country

Singapore