A Robust Multiple Feature Approach To Endpoint Detection In Car Environment Based On Advanced Classifiers

dc.contributor

Universitat de Vic. Escola Politècnica Superior

dc.contributor

Universitat de Vic. Grup de Recerca en Tecnologies Digitals

dc.contributor

International Work-Conference on Artificial Neural Networks (8ena : Barcelona : 2005)

dc.contributor.author

Comas, C.

dc.contributor.author

Monte-Moreno, Enric

dc.contributor.author

Solé-Casals, Jordi

dc.date

2005

dc.identifier

Cabestany, A. Prieto, F. Sandoval, editors. A robust multiple feature approach to endpoint detection in car environment based on advanced classifiers. Computational intelligence and bioinspired systems, proceedings; LECTURE NOTES IN COMPUTER SCIENCE; 8th international work-conference on artificial neural networks; JUN 08-10, 2005; BERLIN; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY: SPRINGER-VERLAG BERLIN; 2005. NR: 7; TC: 0; J9: LECT NOTE COMPUT SCI; PG: 7; GA: BCO15.

dc.identifier

978-3-540-26208-4

dc.identifier

http://hdl.handle.net/10854/2077

dc.identifier.uri

http://hdl.handle.net/10854/2077

dc.description

dc.format

application/pdf

dc.language

eng

dc.publisher

Springer

dc.relation

http://www.springer.com/computer/theoretical+computer+science/book/978-3-540-26208-4

dc.rights

(c) Springer, 2005

dc.rights

Tots els drets reservats

dc.rights

info:eu-repo/semantics/openAccess

dc.subject

Veu, Processament de

dc.title

A Robust Multiple Feature Approach To Endpoint Detection In Car Environment Based On Advanced Classifiers

dc.type

info:eu-repo/semantics/conferenceObject