In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intractable, method for feature subset selection is presented. We show tha
Blum、Floyd、Pratt、Rivest、Tarjan__Time bounds for selection.pdfBlum、Floyd、Pratt、Rivest、Tarjan__Time bounds for selection.pdfBlum、Floyd、Pratt、Rivest、Tarjan__Time bounds for selection.pdfBlum、Floyd、Pratt、Rivest、Tarjan__Time bounds for selection.pdfBlum、
Learning based Symmetric Features Selection for Vehicle Detection This paper describes a symmetric features selection strategy based on statistical learning method for detecting vehicles with a single moving camera for autonomous driving. Symmetry i
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