22 sep 2017 in terms of nonlinear mapping in real world optimization problem an effective minimum enclosing ball (meb) algorithm plus support vector
and there is an offensive player within 10 feet of the ball handler (i.e. . figure 5 (a) the roc curve for the global classifier with the median auroc. (b) the
1 dec 2017 of classifiers due to the lack of a similar word class in classifier chang in the context of a ball match . global corpus statistics on classifiers.
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26 jul 2018 as an example i did it myself for soccer ball detection. in my i have chosen soccer ball because 2018 fifa world cup russia was ongoing . or is hidden partially by players and it also made algorithm hard to predict.
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31 may 2018 requires learners to retrain the classifier with the minimum human can not enclose the class tightly we split the global ball problem into two
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