Alignment of three-dimensional point clouds using combined descriptors
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: 2014DOI: 10.1109/CITS.2014.6878974
Keyword(s): feature selection,n pattern classification,n redundancy,n benchmark data sets,n classification models,n empirical analysis,n generalization performance,n high-dimensional problem,n large-scale data set analysis,n mRMR method,n minimum redundancy-maximum relevance method,n redundant feature detection-based feature selection method,n Breast,n Colon,n Lungs,n Redundancy,n Comparative Study,n Feature Selection,n Redundant Feature
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Alignment of three-dimensional point clouds using combined descriptors
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| contributor author | Matsopoulos, G.K. | |
| contributor author | Economopoulos, T.L. | |
| contributor author | Karanasiou, I.S. | |
| contributor author | Koutsoupidou, M. | |
| contributor author | Ventouras, E. | |
| date accessioned | 2020-03-12T22:17:47Z | |
| date available | 2020-03-12T22:17:47Z | |
| date issued | 2014 | |
| identifier other | 7001945.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1078065 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Alignment of three-dimensional point clouds using combined descriptors | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8214341 | |
| subject keywords | feature selection | |
| subject keywords | n pattern classification | |
| subject keywords | n redundancy | |
| subject keywords | n benchmark data sets | |
| subject keywords | n classification models | |
| subject keywords | n empirical analysis | |
| subject keywords | n generalization performance | |
| subject keywords | n high-dimensional problem | |
| subject keywords | n large-scale data set analysis | |
| subject keywords | n mRMR method | |
| subject keywords | n minimum redundancy-maximum relevance method | |
| subject keywords | n redundant feature detection-based feature selection method | |
| subject keywords | n Breast | |
| subject keywords | n Colon | |
| subject keywords | n Lungs | |
| subject keywords | n Redundancy | |
| subject keywords | n Comparative Study | |
| subject keywords | n Feature Selection | |
| subject keywords | n Redundant Feature | |
| identifier doi | 10.1109/CITS.2014.6878974 | |
| journal title | mage Processing Theory, Tools and Applications (IPTA), 2014 4th International Conference on | |
| filesize | 377643 | |
| citations | 0 |