loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Aldo F. Dragoni ; Germano Vallesi and Paola Baldassarri

Affiliation: Università Politecnica delle Marche, Italy

Keyword(s): Hybrid system, Neural networks, Bayesian conditioning, Face recognition.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Expert Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Human-Computer Interaction ; Hybrid Intelligent Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; Theory and Methods

Abstract: A system of Multiple Neural Networks has been proposed to solve the face recognition problem. Our idea is that a set of expert networks specialized to recognize specific parts of face are better than a single network. This is because a single network could no longer be able to correctly recognize the subject when some characteristics partially change. For this purpose we assume that each network has a reliability factor defined as the probability that the network is giving the desired output. In case of conflicts between the outputs of the networks the reliability factor can be dynamically re-evaluated on the base of the Bayes Rule. The new reliabilities will be used to establish who is the subject. Moreover the network disagreed with the group and specialized to recognize the changed characteristic of the subject will be retrained and then forced to correctly recognize the subject. Then the system is subjected to continuous learning.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.224.55.193

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Dragoni, A.; Vallesi, G. and Baldassarri, P. (2011). A CONTINUOS LEARNING FOR A FACE RECOGNITION SYSTEM. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8425-40-9; ISSN 2184-433X, SciTePress, pages 541-544. DOI: 10.5220/0003133805410544

@conference{icaart11,
author={Aldo F. Dragoni. and Germano Vallesi. and Paola Baldassarri.},
title={A CONTINUOS LEARNING FOR A FACE RECOGNITION SYSTEM},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2011},
pages={541-544},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003133805410544},
isbn={978-989-8425-40-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - A CONTINUOS LEARNING FOR A FACE RECOGNITION SYSTEM
SN - 978-989-8425-40-9
IS - 2184-433X
AU - Dragoni, A.
AU - Vallesi, G.
AU - Baldassarri, P.
PY - 2011
SP - 541
EP - 544
DO - 10.5220/0003133805410544
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic