42 citations · 69 across the 7 of their papers we have counts for
1 paper · 1 filter
Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto
This paper proposes an inexpensive way to learn an effective dissimilarity function to be used for k-nearest neighbor (k-NN) classification. Unlike Mahalanobis metric learning…