elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Support Vector Machines and Bayesian Methods for Category-Based Semantic Learning: A Search Engine for Image Satellite Database

Costache, Mihai (2008) Support Vector Machines and Bayesian Methods for Category-Based Semantic Learning: A Search Engine for Image Satellite Database. Dissertation, TELECOM Paris Tech.

Full text not available from this repository.

Official URL: http://www.tsi.enst.fr/~costache/

Abstract

Support Vector Machines can be coupled with Bayesian methods. This allows us to find categories and to perform semantic learning.

Item URL in elib:https://elib.dlr.de/57717/
Document Type:Thesis (Dissertation)
Additional Information:Directeur de thèse: Prof. Mihai Datcu
Title:Support Vector Machines and Bayesian Methods for Category-Based Semantic Learning: A Search Engine for Image Satellite Database
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Costache, MihaiTELECOM Paris TechUNSPECIFIEDUNSPECIFIED
Date:2008
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:216
Status:Published
Keywords:earth observation, images, classification, support vector machines, Bayesian methods, semantic learning.
Institution:TELECOM Paris Tech
Department:TSI / CoC
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Bildwissenschaften (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:21 Jan 2009
Last Modified:28 Mar 2013 10:25

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.