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Potential applications of HDR in echocardiography

contributor authorSlavkovic-Ilic, M.
contributor authorGavrovska, A.
contributor authorMilivojevic, M.
contributor authorJevtic, D.
contributor authorReljin, I.
date accessioned2020-03-12T22:28:28Z
date available2020-03-12T22:28:28Z
date issued2014
identifier other7011450.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1084251?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titlePotential applications of HDR in echocardiography
typeConference Paper
contenttypeMetadata Only
identifier padid8221512
subject keywordslearning (artificial intelligence)
subject keywordsn optimisation
subject keywordsn statistical analysis
subject keywordsn support vector machines
subject keywordsn KCOOSVM
subject keywordsn KCSVM
subject keywordsn knee-cut SVM
subject keywordsn knee-cut ordinal optimization inspired SVM
subject keywordsn machine learning
subject keywordsn mathematical foundations
subject keywordsn ordinal kernel trick
subject keywordsn statistical learning theory
subject keywordsn support vector machine
subject keywordsn Databases
subject keywordsn Kernel
subject keywordsn Optimization
subject keywordsn Prediction algorithms
subject keywordsn Support vector machines
subject keywordsn Training
subject keywordsn Vectors
subject keywordsn SVM
subject keywordsn ordinal optimization
identifier doi10.1109/IJCNN.2014.6889884
journal titleeural Network Applications in Electrical Engineering (NEUREL), 2014 12th Symposium on
filesize1081508
citations0


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