Tell a friend
Print
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: |
| ||||||
| 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
