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.
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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/ | ||||||||
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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: |
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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 |
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