Face recognition using some aspects of the infant vision system and associative memories

Authors:
Roberto A. Vazquez;Humberto Sossa;Beatriz A. Garro
Affiliations:
Centro de Investigación en Computación, IPN, Ciudad de México, México;Centro de Investigación en Computación, IPN, Ciudad de México, México;Centro de Investigación en Computación, IPN, Ciudad de México, México
Venue:
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Year:
2007

Citing 5
Cited 1

Generalizing Operations of Binary Autoassociative Morphological Memories Using Fuzzy Set Theory

Journal of Mathematical Imaging and Vision
A new bi-directional associative memory

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Associative memories applied to image categorization

CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Implicative Fuzzy Associative Memories

IEEE Transactions on Fuzzy Systems
Gray-scale morphological associative memories

IEEE Transactions on Neural Networks

A New Associative Model with Dynamical Synapses

Neural Processing Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

Several associative memories (AM) have been proposed in the last years. These AMs have several constraints that limit their applicability in complex problems such as face recognition. Despite of the power of these models, they cannot reach its full power without applying new mechanisms based on current and future studies on biological neural networks. In this research we show how a network of dynamic associative memories (DAM) combined with some aspects of the infant vision system could be efficiently applied to the face recognition problem. Through several experiments by using a benchmark of faces the accuracy of the proposal is tested.