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Sparse ensemble learning for content-based image retrieval

Arias, Javier (2012) Sparse ensemble learning for content-based image retrieval. Master's, University of Alcala.

Full text not available from this repository.

Abstract

Content-based image retrieval systems need a learning component. Sparse ensemle learning is a innovative method that is shown to provide interesting results.

Item URL in elib:https://elib.dlr.de/80482/
Document Type:Thesis (Master's)
Title:Sparse ensemble learning for content-based image retrieval
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Arias, JavierUNSPECIFIEDUNSPECIFIED
Date:2012
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Keywords:remote sensing, image retrieval, ensemble learning
Institution:University of Alcala
Department:Departamento de Teoría de la Señal y Comunicaciones
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:14 Jan 2013 09:50
Last Modified:14 Jan 2013 09:50

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