An effective approach for detecting human torso from photo images
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: 2014DOI: 10.1109/ICInfA.2014.6932699
Keyword(s): Gabor filters,face recognition,principal component analysis,support vector machines,LDA,OLPP-based Gabor feature dimensionality reduction,PCA,SVM,computational memory,facial expression recognition,high dimensional feature processing,linear discriminant analysis,orthogonal locality preserving projections,principle component analysis,support vector machines,Databases,Face recognition,Feature extraction,Gabor filters,Manifolds,Principal component analysis,Training,Demensionali
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An effective approach for detecting human torso from photo images
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| contributor author | Mathew, M.M. , Salim, S. | |
| date accessioned | 2020-03-12T20:49:30Z | |
| date available | 2020-03-12T20:49:30Z | |
| date issued | 2014 | |
| identifier other | 6908257.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1026829 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | An effective approach for detecting human torso from photo images | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8151897 | |
| subject keywords | Gabor filters | |
| subject keywords | face recognition | |
| subject keywords | principal component analysis | |
| subject keywords | support vector machines | |
| subject keywords | LDA | |
| subject keywords | OLPP-based Gabor feature dimensionality reduction | |
| subject keywords | PCA | |
| subject keywords | SVM | |
| subject keywords | computational memory | |
| subject keywords | facial expression recognition | |
| subject keywords | high dimensional feature processing | |
| subject keywords | linear discriminant analysis | |
| subject keywords | orthogonal locality preserving projections | |
| subject keywords | principle component analysis | |
| subject keywords | support vector machines | |
| subject keywords | Databases | |
| subject keywords | Face recognition | |
| subject keywords | Feature extraction | |
| subject keywords | Gabor filters | |
| subject keywords | Manifolds | |
| subject keywords | Principal component analysis | |
| subject keywords | Training | |
| subject keywords | Demensionali | |
| identifier doi | 10.1109/ICInfA.2014.6932699 | |
| journal title | merging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 2014 Annual International Con | |
| filesize | 279250 | |
| citations | 0 |