On the theoretical analysis of cross validation in compressive sensing
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Year
: 2014DOI: 10.1109/IC3I.2014.7019801
Keyword(s): handwritten character recognition,image classification,natural language processing,statistical analysis,OLDA based online handwriting recognition,RLDA,average maximum recognition accuracy,memory requirements,nearest neighbor classifier,online handwritten Kannada basic character data,online handwritten data recognition,writer independent experiments,Accuracy,Algorithm design and analysis,Classification algorithms,Feature extraction,Support vector machine classification,Testing,T
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On the theoretical analysis of cross validation in compressive sensing
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| date accessioned | 2020-03-12T20:09:11Z | |
| date available | 2020-03-12T20:09:11Z | |
| date issued | 2014 | |
| identifier other | 6854225.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1003852?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | On the theoretical analysis of cross validation in compressive sensing | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8125129 | |
| subject keywords | handwritten character recognition | |
| subject keywords | image classification | |
| subject keywords | natural language processing | |
| subject keywords | statistical analysis | |
| subject keywords | OLDA based online handwriting recognition | |
| subject keywords | RLDA | |
| subject keywords | average maximum recognition accuracy | |
| subject keywords | memory requirements | |
| subject keywords | nearest neighbor classifier | |
| subject keywords | online handwritten Kannada basic character data | |
| subject keywords | online handwritten data recognition | |
| subject keywords | writer independent experiments | |
| subject keywords | Accuracy | |
| subject keywords | Algorithm design and analysis | |
| subject keywords | Classification algorithms | |
| subject keywords | Feature extraction | |
| subject keywords | Support vector machine classification | |
| subject keywords | Testing | |
| subject keywords | T | |
| identifier doi | 10.1109/IC3I.2014.7019801 | |
| journal title | coustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on | |
| filesize | 169717 | |
| citations | 2 | |
| contributor rawauthor | Jinye Zhang , Laming Chen , Boufounos, P.T. , Yuantao Gu |