Potential applications of HDR in echocardiography
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Year
: 2014DOI: 10.1109/IJCNN.2014.6889884
Keyword(s): learning (artificial intelligence),n optimisation,n statistical analysis,n support vector machines,n KCOOSVM,n KCSVM,n knee-cut SVM,n knee-cut ordinal optimization inspired SVM,n machine learning,n mathematical foundations,n ordinal kernel trick,n statistical learning theory,n support vector machine,n Databases,n Kernel,n Optimization,n Prediction algorithms,n Support vector machines,n Training,n Vectors,n SVM,n ordinal optimization
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Potential applications of HDR in echocardiography
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| contributor author | Slavkovic-Ilic, M. | |
| contributor author | Gavrovska, A. | |
| contributor author | Milivojevic, M. | |
| contributor author | Jevtic, D. | |
| contributor author | Reljin, I. | |
| date accessioned | 2020-03-12T22:28:28Z | |
| date available | 2020-03-12T22:28:28Z | |
| date issued | 2014 | |
| identifier other | 7011450.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1084251?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Potential applications of HDR in echocardiography | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8221512 | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | n optimisation | |
| subject keywords | n statistical analysis | |
| subject keywords | n support vector machines | |
| subject keywords | n KCOOSVM | |
| subject keywords | n KCSVM | |
| subject keywords | n knee-cut SVM | |
| subject keywords | n knee-cut ordinal optimization inspired SVM | |
| subject keywords | n machine learning | |
| subject keywords | n mathematical foundations | |
| subject keywords | n ordinal kernel trick | |
| subject keywords | n statistical learning theory | |
| subject keywords | n support vector machine | |
| subject keywords | n Databases | |
| subject keywords | n Kernel | |
| subject keywords | n Optimization | |
| subject keywords | n Prediction algorithms | |
| subject keywords | n Support vector machines | |
| subject keywords | n Training | |
| subject keywords | n Vectors | |
| subject keywords | n SVM | |
| subject keywords | n ordinal optimization | |
| identifier doi | 10.1109/IJCNN.2014.6889884 | |
| journal title | eural Network Applications in Electrical Engineering (NEUREL), 2014 12th Symposium on | |
| filesize | 1081508 | |
| citations | 0 |