4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2018★ 4 cited
Parametric Models for Mutual Kernel Matrix Completion
Rachelle Rivero, Tsuyoshi Kato
Recent studies utilize multiple kernel learning to deal with incomplete-data problem. In this study, we introduce new methods that do not only complete multiple incomplete kernel m…
cs.LG2018★ 1 cited
Threshold Auto-Tuning Metric Learning
Yuya Onuma, Rachelle Rivero, Tsuyoshi Kato
It has been reported repeatedly that discriminative learning of distance metric boosts the pattern recognition performance. A weak point of ITML-based methods is that the distance…
cs.LG2017★ 2 cited
Mutual Kernel Matrix Completion
Tsuyoshi Kato, Rachelle Rivero
With the huge influx of various data nowadays, extracting knowledge from them has become an interesting but tedious task among data scientists, particularly when the data come in h…