Publications by authors named "Hideitsu Hino"

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S
Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy.
Yasuhiko Igarashi, Naoka Nagamura, Masahiro Sekine, Hirokazu Fukidome, Hideitsu Hino

Discov Nano· July 2025

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Gradual Domain Adaptation via Normalizing Flows.
Shogo Sagawa, Hideitsu Hino

Neural Comput· February 2025

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Rational partitioning of spectral feature space for effective clustering of massive spectral image data.
Yusei Ito, Yasuo Takeichi, Hideitsu Hino, Kanta Ono

Sci Rep· September 2024

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ATNAS: Automatic Termination for Neural Architecture Search.
Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino

Neural Netw· September 2023

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C
Cost-effective framework for gradual domain adaptation with multifidelity.
Shogo Sagawa, Hideitsu Hino

Neural Netw· July 2023

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Gaussian Process Koopman Mode Decomposition.
Takahiro Kawashima, Hideitsu Hino

Neural Comput· December 2022

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Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport.
Toshimitsu Aritake, Hideitsu Hino

Neural Comput· November 2022

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Information Geometrically Generalized Covariate Shift Adaptation.
Masanari Kimura, Hideitsu Hino

Neural Comput· August 2022

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D
Detecting cell assemblies by NMF-based clustering from calcium imaging data.
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki

Neural Netw· May 2022

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-Geodesical Skew Divergence.
Masanari Kimura, Hideitsu Hino

Entropy (Basel)· April 2021

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Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach.
Yuta Suzuki, Hideitsu Hino, Takafumi Hawai, Kotaro Saito, Masato Kotsugi

Sci Rep· December 2020

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Modal Principal Component Analysis.
Keishi Sando, Hideitsu Hino

Neural Comput· October 2020

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Dynamics of Cortical Local Connectivity during Sleep-Wake States and the Homeostatic Process.
Takehiro Miyazaki, Takeshi Kanda, Natsuko Tsujino, Ryo Ishii, Daiki Nakatsuka, Hideitsu Hino

Cereb Cortex· June 2020

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Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation.
Kotaro Saito, Masao Yano, Hideitsu Hino, Tetsuya Shoji, Akinori Asahara

Sci Rep· February 2019

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E
EEG dipole source localization with information criteria for multiple particle filters.
Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho

Neural Netw· December 2018

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Estimation of neural connections from partially observed neural spikes.
Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Neural Netw· December 2018

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C
Classification of volcanic ash particles using a convolutional neural network and probability.
Daigo Shoji, Rina Noguchi, Shizuka Otsuki, Hideitsu Hino

Sci Rep· May 2018

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Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis.
Tomoaki Chiba, Hideitsu Hino, Shotaro Akaho, Noboru Murata

PLoS One· August 2017

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Local Intrinsic Dimension Estimation by Generalized Linear Modeling.
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata

Neural Comput· July 2017

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Discontinuous boundaries of slow slip events beneath the Bungo Channel, southwest Japan.
Ryoko Nakata, Hideitsu Hino, Tatsu Kuwatani, Shoichi Yoshioka, Masato Okada

Sci Rep· July 2017

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Nonparametric e-Mixture Estimation.
Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Neural Comput· December 2016

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Multi-frame image super resolution based on sparse coding.
Toshiyuki Kato, Hideitsu Hino, Noboru Murata

Neural Netw· June 2015

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A
A nonparametric clustering algorithm with a quantile-based likelihood estimator.
Hideitsu Hino, Noboru Murata

Neural Comput· September 2014

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I
Intrinsic graph structure estimation using graph Laplacian.
Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Neural Comput· July 2014

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I
Information estimators for weighted observations.
Hideitsu Hino, Noboru Murata

Neural Netw· October 2013

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