PRAC: Exploiting partial packets without cross-layer or feedback information
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Year
: 2014DOI: 10.1109/ICPR.2014.407
Keyword(s): graph theory,image representation,pattern clustering,statistical analysis,transforms,unsupervised learning,Caltech101 datasets,SIFT descriptor extraction,bag-of-words,co-occurrence encoding,co-occurring nodes,co-occurring visual words,emergent clusters,emergent pattern properties,feature co-occurrence,image collections,image datasets,image representation,normalized cuts,object class identification,object identifiers,statistical analysis,unsupervised method,visual words,we
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PRAC: Exploiting partial packets without cross-layer or feedback information
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| contributor author | Angelopoulos, G. , Chandrakasan, A.P. , Medard, M. | |
| date accessioned | 2020-03-12T20:41:59Z | |
| date available | 2020-03-12T20:41:59Z | |
| date issued | 2014 | |
| identifier other | 6884247.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1022320 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | PRAC: Exploiting partial packets without cross-layer or feedback information | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8147071 | |
| subject keywords | graph theory | |
| subject keywords | image representation | |
| subject keywords | pattern clustering | |
| subject keywords | statistical analysis | |
| subject keywords | transforms | |
| subject keywords | unsupervised learning | |
| subject keywords | Caltech101 datasets | |
| subject keywords | SIFT descriptor extraction | |
| subject keywords | bag-of-words | |
| subject keywords | co-occurrence encoding | |
| subject keywords | co-occurring nodes | |
| subject keywords | co-occurring visual words | |
| subject keywords | emergent clusters | |
| subject keywords | emergent pattern properties | |
| subject keywords | feature co-occurrence | |
| subject keywords | image collections | |
| subject keywords | image datasets | |
| subject keywords | image representation | |
| subject keywords | normalized cuts | |
| subject keywords | object class identification | |
| subject keywords | object identifiers | |
| subject keywords | statistical analysis | |
| subject keywords | unsupervised method | |
| subject keywords | visual words | |
| subject keywords | we | |
| identifier doi | 10.1109/ICPR.2014.407 | |
| journal title | ommunications (ICC), 2014 IEEE International Conference on | |
| filesize | 601823 | |
| citations | 0 |