Title

ELI-chan for Intermediate Features

Publication Type

Conference Paper

Publication Date

1993

Abstract

We propose ELI-chan, an emergent local indicator mechanism, to model the representation and self-organization of intermediate features in the visual pathway. This model is motivated by the orientation specificity in the primary visual cortex. Our simulations of ELI-chan demonstrate that local indicators of the locations of intermediate features emerge, and they become the seeds for unsupervised learning and pattern recognition; ELI-chan predicts those portions of the input imagery where intermediate features potentially exist. Hence, ELI-chan can be used to define a set of intermediate features for adaptation, and the onwards processing in a hierarchical pattern recognition system.

Discipline

Physical Sciences and Mathematics

Research Areas

Strategy and Organisation

Publication

International Joint Conference on Neural Networks: IJCNN '93 Proceedings, 25-29 October 1993, Nagoya

First Page

2508

Last Page

2511

ISBN

9780780314214

Identifier

10.1109/IJCNN.1993.714234

Publisher

IEEE

City or Country

Nagoya, Japan