8 citations · 11 across the 4 of their papers we have counts for
4 papers
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…
On a convergence property of a geometrical algorithm for statistical manifolds
Shotaro Akaho, Hideitsu Hino, Noboru Murata
In this paper, we examine a geometrical projection algorithm for statistical inference. The algorithm is based on Pythagorean relation and it is derivative-free as well as represen…
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices
Nima Reyhani, Hideitsu Hino, Ricardo Vigario
Kernel methods are successful approaches for different machine learning problems. This success is mainly rooted in using feature maps and kernel matrices. Some methods rely on the…