Feature extraction and classification of a two-class fMRI experiment using principal component analysis, LDA and SVM
This report is the result of the research developed during the summer research stay of the first author at the Computer Vision and Image Analysis Laboratory, Electrical and Computing Engineering Department, Texas Tech University, USA. The first author worked with the graduate student Jingqi Ao who o...
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| Format: | report |
| Status: | Versión aceptada para publicación |
| Publication Date: | 2009 |
| Country: | México |
| Institution: | Instituto Nacional de Astrofísica, Óptica y Electrónica |
| Repository: | Repositorio Institucional del INAOE |
| Language: | English |
| OAI Identifier: | oai:inaoe.repositorioinstitucional.mx:1009/883 |
| Online Access: | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/883 |
| Access Level: | Open access |
| Keyword: | info:eu-repo/classification/cti/1 info:eu-repo/classification/cti/22 info:eu-repo/classification/cti/2203 |
| Summary: | This report is the result of the research developed during the summer research stay of the first author at the Computer Vision and Image Analysis Laboratory, Electrical and Computing Engineering Department, Texas Tech University, USA. The first author worked with the graduate student Jingqi Ao who obtained the results described in this report as part of his graduate studies. |
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