111 citations · 283 across the 44 of their papers we have counts for
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Active Learning: Problem Settings and Recent Developments
Hideitsu Hino
In supervised learning, acquiring labeled training data for a predictive model can be very costly, but acquiring a large amount of unlabeled data is often quite easy. Active learni…
Modal Principal Component Analysis
Keishi Sando, Hideitsu Hino
Principal component analysis (PCA) is a widely used method for data processing, such as for dimension reduction and visualization. Standard PCA is known to be sensitive to outliers…
Stopping criterion for active learning based on deterministic generalization bounds
Hideaki Ishibashi, Hideitsu Hino
Active learning is a framework in which the learning machine can select the samples to be used for training. This technique is promising, particularly when the cost of data acquisi…
Fast and robust multiplane single molecule localization microscopy using deep neural network
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki +3
Single molecule localization microscopy is widely used in biological research for measuring the nanostructures of samples smaller than the diffraction limit. This study uses multif…