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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.10.070
Abstract: Abstract Under homoscedastic Gaussian assumption, it is demonstrated that conventional LDA is formulated by maximizing the weighted arithmetic mean of the Kullback–Leibler (KL) divergences between different classes. However, the calculation of projection directions is dominated…
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Keywords:
multiclass discriminant;
analysis;
via adaptive;
analysis via ... See more keywords