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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.

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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.

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 Authors
Costache, MihaiTELECOM Paris Tech
Date:2008
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: Gottfried Schwarz
Deposited On:21 Jan 2009
Last Modified:28 Mar 2013 10:25

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