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stat.ML2020★ 13 cited
Distance Metric Learning for Graph Structured Data
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Graphs are versatile tools for representing structured data. As a result, a variety of machine learning methods have been studied for graph data analysis. Although many such learni…
stat.ML2018★ 4 cited
Safe Triplet Screening for Distance Metric Learning
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
We study safe screening for metric learning. Distance metric learning can optimize a metric over a set of triplets, each one of which is defined by a pair of same class instances a…