Hideitsu Hino

According to our database, Hideitsu Hino authored at least 101 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Synthesizing differentially private location traces including co-locations.

Jun Narita, Takao Murakami, Hideitsu Hino, Masakatsu Nishigaki, Tetsushi Ohki

Int. J. Inf. Sec., February, 2024

A Short Survey on Importance Weighting for Machine Learning.

Masanari Kimura, Hideitsu Hino

Trans. Mach. Learn. Res., 2024

A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence.

Takahiro Kawashima, Hideitsu Hino

CoRR, 2024

Duality induced by an embedding structure of determinantal point process.

Hideitsu Hino, Keisuke Yano

CoRR, 2024

Scalable Counterfactual Distribution Estimation in Multivariate Causal Models.

Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le

Proceedings of the Causal Learning and Reasoning, 2024

2023

ATNAS: Automatic Termination for Neural Architecture Search.

Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino

Neural Networks, September, 2023

Cost-effective framework for gradual domain adaptation with multifidelity.

Shogo Sagawa, Hideitsu Hino

Neural Networks, July, 2023

Gaussian Process Koopman Mode Decomposition.

Takahiro Kawashima, Hideitsu Hino

Neural Comput., January, 2023

Minorization-Maximization for Learning Determinantal Point Processes.

Takahiro Kawashima, Hideitsu Hino

Trans. Mach. Learn. Res., 2023

A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets.

Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Detecting cell assemblies by NMF-based clustering from calcium imaging data.

Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata

Neural Networks, 2022

Information Geometrically Generalized Covariate Shift Adaptation.

Masanari Kimura, Hideitsu Hino

Neural Comput., 2022

Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport.

Toshimitsu Aritake, Hideitsu Hino

Neural Comput., 2022

Active Learning by Query by Committee with Robust Divergences.

Hideitsu Hino, Shinto Eguchi

CoRR, 2022

Geometry of EM and related iterative algorithms.

Hideitsu Hino, Shotaro Akaho, Noboru Murata

CoRR, 2022

Gradual Domain Adaptation via Normalizing Flows.

Shogo Sagawa, Hideitsu Hino

CoRR, 2022

Information Geometry of Dropout Training.

Masanari Kimura, Hideitsu Hino

CoRR, 2022

Domain Adaptation with Optimal Transport for Extended Variable Space.

Toshimitsu Aritake, Hideitsu Hino

Proceedings of the International Joint Conference on Neural Networks, 2022

One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation.

Hajime Ono, Kazuhiro Minami, Hideitsu Hino

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning.

Yusuke Taguchi, Hideitsu Hino, Keisuke Kameyama

Neural Process. Lett., 2021

Fast and robust multiplane single-molecule localization microscopy using a deep neural network.

Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata

Neurocomputing, 2021

α-Geodesical Skew Divergence.

Masanari Kimura, Hideitsu Hino

Entropy, 2021

Fast symplectic integrator for Nesterov-type acceleration method.

Shin-itiro Goto, Hideitsu Hino

CoRR, 2021

Stopping Criterion for Active Learning Based on Error Stability.

Hideaki Ishibashi, Hideitsu Hino

CoRR, 2021

Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization.

Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Modal Principal Component Analysis.

Keishi Sando, Hideitsu Hino

Neural Comput., 2020

Active Learning: Problem Settings and Recent Developments.

Hideitsu Hino

CoRR, 2020

Stopping criterion for active learning based on deterministic generalization bounds.

Hideaki Ishibashi, Hideitsu Hino

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Bayesian Optimization for Multi-objective Optimization and Multi-point Search.

Takashi Wada, Hideitsu Hino

CoRR, 2019

Active Learning with Interpretable Predictor.

Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino

Proceedings of the International Joint Conference on Neural Networks, 2019

On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds.

Shotaro Akaho, Hideitsu Hino, Noboru Murata

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization.

Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Expectation Variables on a Para-Contact Metric Manifold Exactly Derived from Master Equations.

Shin-itiro Goto, Hideitsu Hino

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Retrieved Image Refinement by Bootstrap Outlier Test.

Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Toward Distribution Estimation under Local Differential Privacy with Small Samples.

Takao Murakami, Hideitsu Hino, Jun Sakuma

Proc. Priv. Enhancing Technol., 2018

EEG dipole source localization with information criteria for multiple particle filters.

Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho, Noboru Murata, Eri Miyauchi, Masahiro Kawasaki

Neural Networks, 2018

Estimation of neural connections from partially observed neural spikes.

Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Neural Networks, 2018

Classification of volcanic ash particles using a convolutional neural network and probability.

Daigo Shoji, Rina Noguchi, Shizuka Otsuki, Hideitsu Hino

CoRR, 2018

Information Geometric Perspective of Modal Linear Regression.

Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Geometrical Formulation of the Nonnegative Matrix Factorization.

Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Localizing Current Dipoles from EEG Data Using a Birth-Death Process.

Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces.

Takao Murakami, Atsunori Kanemura, Hideitsu Hino

IEEE Trans. Inf. Forensics Secur., 2017

ider: Intrinsic Dimension Estimation with R.

Hideitsu Hino

R J., 2017

Local Intrinsic Dimension Estimation by Generalized Linear Modeling.

Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata

Neural Comput., 2017

Double sparsity for multi-frame super resolution.

Toshiyuki Kato, Hideitsu Hino, Noboru Murata

Neurocomputing, 2017

2016

Nonparametric <i>e</i>-Mixture Estimation.

Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Neural Comput., 2016

Protein Fold Classification Using Large Margin Combination of Distance Metrics.

Chendra Hadi Suryanto, Kazuhiro Fukui, Hideitsu Hino

IEICE Trans. Inf. Syst., 2016

Doubly sparse structure in image super resolution.

Toshiyuki Kato, Hideitsu Hino, Noboru Murata

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Spotting fingerspelled words from sign language video by temporally regularized canonical component analysis.

Shohei Tanaka, Akio Okazaki, Nobuko Kato, Hideitsu Hino, Kazuhiro Fukui

Proceedings of the IEEE International Conference on Identity, 2016

Non-parametric e-mixture of Density Functions.

Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure.

Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

3D Object Recognition with Enhanced Grassmann Discriminant Analysis.

Lincon Sales de Souza, Hideitsu Hino, Kazuhiro Fukui

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

Entropy Power Inequality for Learning Optimal Combination of Kernel Functions.

Hideitsu Hino

J. Signal Process. Syst., 2015

Change-Point Detection in a Sequence of Bags-of-Data.

Kensuke Koshijima, Hideitsu Hino, Noboru Murata

IEEE Trans. Knowl. Data Eng., 2015

mmpp: A Package for Calculating Similarity and Distance Metrics for Simple and Marked Temporal Point Processes.

Hideitsu Hino, Ken Takano, Noboru Murata

R J., 2015

Multi-frame image super resolution based on sparse coding.

Toshiyuki Kato, Hideitsu Hino, Noboru Murata

Neural Networks, 2015

Non-parametric entropy estimators based on simple linear regression.

Hideitsu Hino, Kensuke Koshijima, Noboru Murata

Comput. Stat. Data Anal., 2015

Double Sparse Multi-Frame Image Super Resolution.

Toshiyuki Kato, Hideitsu Hino, Noboru Murata

CoRR, 2015

Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces.

Takao Murakami, Atsunori Kanemura, Hideitsu Hino

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface.

Takao Yoshinuma, Hideitsu Hino, Kazuhiro Fukui

Proceedings of the Image and Video Technology - 7th Pacific-Rim Symposium, 2015

Patchworking Multiple Pairwise Distances for Learning with Distance Matrices.

Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Linear Discriminant Analysis with Adherent Regularization.

Hideitsu Hino

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014

Intrinsic Graph Structure Estimation Using Graph Laplacian.

Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Neural Comput., 2014

A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator.

Hideitsu Hino, Noboru Murata

Neural Comput., 2014

Sparse Coding Approach for Multi-Frame Image Super Resolution.

Toshiyuki Kato, Hideitsu Hino, Noboru Murata

CoRR, 2014

Sensing Visual Attention by Sequential Patterns.

Yasuyuki Yamazaki, Hideitsu Hino, Kazuhiro Fukui

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Kernel Method to Extract Common Features Based on Mutual Information.

Takamitsu Araki, Hideitsu Hino, Shotaro Akaho

Proceedings of the Neural Information Processing - 21st International Conference, 2014

An Algorithm for Directed Graph Estimation.

Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

A Non-parametric Maximum Entropy Clustering.

Hideitsu Hino, Noboru Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households.

Hideitsu Hino, Haoyang Shen, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi

IEEE Trans. Smart Grid, 2013

Information estimators for weighted observations.

Hideitsu Hino, Noboru Murata

Neural Networks, 2013

Learning Ancestral Atom via Sparse Coding.

Toshimitsu Aritake, Hideitsu Hino, Noboru Murata

IEEE J. Sel. Top. Signal Process., 2013

Entropy-based sliced inverse regression.

Hideitsu Hino, Keigo Wakayama, Noboru Murata

Comput. Stat. Data Anal., 2013

Supervised covariance selection for linear discriminant analysis.

Hideitsu Hino, Nima Reyhani

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Gaussian multiple kernel learning with entropy power inequality.

Hideitsu Hino

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Pairwise Similarity for Line Extraction from Distorted Images.

Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 2013

Combination of Multiple Distance Measures for Protein Fold Classification.

Chendra Hadi Suryanto, Hideitsu Hino, Kazuhiro Fukui

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

Integration of MKL-Based and I-Vector-Based Speaker Verification by Short Utterances.

Hideitsu Hino, Tetsuji Ogawa

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012

Multiple Kernel Learning with Gaussianity Measures.

Hideitsu Hino, Nima Reyhani, Noboru Murata

Neural Comput., 2012

A Tree Search Approach to Sparse Coding.

Rui Jorge Rei, João Pedro Pedroso, Hideitsu Hino, Noboru Murata

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Sliced inverse regression with conditional entropy minimization.

Hideitsu Hino, Keigo Wakayama, Noboru Murata

Proceedings of the 21st International Conference on Pattern Recognition, 2012

An improved entropy-based multiple kernel learning.

Hideitsu Hino, Tetsuji Ogawa

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Robust Hypersurface Fitting Based on Random Sampling Approximations.

Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

An Estimation of Generalized Bradley-Terry Models Based on the <i>em</i> Algorithm.

Yu Fujimoto, Hideitsu Hino, Noboru Murata

Neural Comput., 2011

New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices.

Nima Reyhani, Hideitsu Hino, Ricardo Vigário

Proceedings of the UAI 2011, 2011

Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization.

Tetsuji Ogawa, Hideitsu Hino, Noboru Murata, Tetsunori Kobayashi

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

A Measure of Credibility of Solar Power Prediction.

Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Extraction of Basic Patterns of Household Energy Consumption.

Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Calibration of radially symmetric distortion based on linearity in the calibrated image.

Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Speaker recognition using multiple kernel learning based on conditional entropy minimization.

Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi

Proceedings of the IEEE International Conference on Acoustics, 2011

A Computationally Efficient Information Estimator for Weighted Data.

Hideitsu Hino, Noboru Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino.

Yumi Usami, David G. Stork, Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the Computer Vision and Image Analysis of Art II, San Francisco Airport, 2011

Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile.

Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 2011

2010

A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning.

Hideitsu Hino, Noboru Murata

Neural Comput., 2010

A Grouped Ranking Model for Item Preference Parameter.

Hideitsu Hino, Yu Fujimoto, Noboru Murata

Neural Comput., 2010

Self-Calibration of Radially Symmetric Distortion by Model Selection.

Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Multiple Kernel Learning by Conditional Entropy Minimization.

Hideitsu Hino, Nima Reyhani, Noboru Murata

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Item Preference Parameters from Grouped Ranking Observations.

Hideitsu Hino, Yu Fujimoto, Noboru Murata

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

An Information Theoretic Perspective of the Sparse Coding.

Hideitsu Hino, Noboru Murata

Proceedings of the Advances in Neural Networks, 2009

Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference.

Yu Fujimoto, Hideitsu Hino, Noboru Murata

Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Calibration of Radially Symmetric Distortion by Fitting Principal Component.

Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009