The Cognitive Compressive Sensing problem
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: 2014DOI: 10.1109/ESSCIRC.2014.6942054
Keyword(s): augmented reality,computer vision,feature extraction,image resolution,microprocessor chips,object recognition,shift registers,AMMAC unit,FAST corner detection processor,adaptive multiissue multiply-accumulate,angle integrator,augmented reality,energy efficiency,feature detection,features from accelerated segment test,high accuracy AR,high resolution image,high-throughput super-resolution 4-core cluster,object recognition,shift register,system power consumption,vision applica
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The Cognitive Compressive Sensing problem
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| contributor author | Bagheri, S. , Scaglione, A. | |
| date accessioned | 2020-03-12T20:31:55Z | |
| date available | 2020-03-12T20:31:55Z | |
| date issued | 2014 | |
| identifier other | 6875424.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1017518?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | The Cognitive Compressive Sensing problem | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8141605 | |
| subject keywords | augmented reality | |
| subject keywords | computer vision | |
| subject keywords | feature extraction | |
| subject keywords | image resolution | |
| subject keywords | microprocessor chips | |
| subject keywords | object recognition | |
| subject keywords | shift registers | |
| subject keywords | AMMAC unit | |
| subject keywords | FAST corner detection processor | |
| subject keywords | adaptive multiissue multiply-accumulate | |
| subject keywords | angle integrator | |
| subject keywords | augmented reality | |
| subject keywords | energy efficiency | |
| subject keywords | feature detection | |
| subject keywords | features from accelerated segment test | |
| subject keywords | high accuracy AR | |
| subject keywords | high resolution image | |
| subject keywords | high-throughput super-resolution 4-core cluster | |
| subject keywords | object recognition | |
| subject keywords | shift register | |
| subject keywords | system power consumption | |
| subject keywords | vision applica | |
| identifier doi | 10.1109/ESSCIRC.2014.6942054 | |
| journal title | nformation Theory (ISIT), 2014 IEEE International Symposium on | |
| filesize | 419952 | |
| citations | 0 |