44 citations · 126 across the 16 of their papers we have counts for
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math.NA2020★ 1 cited
Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation
Riku Akema, Masao Yamagishi, Isao Yamada
Approximate Simultaneous Diagonalization (ASD) is a problem to find a common similarity transformation which approximately diagonalizes a given square-matrix tuple. Many data scien…
math.OC2020★ 1 cited
A Hierarchical Convex Optimization for Multiclass SVM Achieving Maximum Pairwise Margins with Least Empirical Hinge-Loss
Yunosuke Nakayama, Masao Yamagishi, Isao Yamada
In this paper, we formulate newly a hierarchical convex optimization for multiclass SVM achieving maximum pairwise margins with least empirical hinge-loss. This optimization proble…