Support Vector Machines for Classification applied to Facial Expression Analysis and Remote Sensing

Support Vector Machines for Classification applied to Facial Expression Analysis and Remote Sensing

The subject of this thesis is the application of Support Vector Machines on two totally different applications, facial expressions recognition and remote sensing. The basic idea of kernel algorithms is to transpose input data in a higher dimensional space, the feature space, in which linear operatio...

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Bibliographic Details
Main Author: Jottrand, Matthieu
Format: Others
Language:Swedish
Published: Linköpings universitet, Institutionen för systemteknik 2005
Subjects:
Technology
Support Vector Machines
hyperspectral imagery
facial expressions
remote sensing
classification
TEKNIKVETENSKAP
TECHNOLOGY
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2938

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2938

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