Hideitsu Hino

Orcid: 0000-0002-6405-4361

According to our database1, Hideitsu Hino authored at least 102 papers between 2009 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2025
When should we use top coding in locally private estimation?
Int. J. Inf. Sec., February, 2025

2024
Synthesizing differentially private location traces including co-locations.
Int. J. Inf. Sec., February, 2024

A Short Survey on Importance Weighting for Machine Learning.
Trans. Mach. Learn. Res., 2024

A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence.
CoRR, 2024

Duality induced by an embedding structure of determinantal point process.
CoRR, 2024

Scalable Counterfactual Distribution Estimation in Multivariate Causal Models.
Proceedings of the Causal Learning and Reasoning, 2024

2023
ATNAS: Automatic Termination for Neural Architecture Search.
Neural Networks, September, 2023

Cost-effective framework for gradual domain adaptation with multifidelity.
Neural Networks, July, 2023

Gaussian Process Koopman Mode Decomposition.
Neural Comput., January, 2023

Minorization-Maximization for Learning Determinantal Point Processes.
Trans. Mach. Learn. Res., 2023

A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Detecting cell assemblies by NMF-based clustering from calcium imaging data.
Neural Networks, 2022

Information Geometrically Generalized Covariate Shift Adaptation.
Neural Comput., 2022

Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport.
Neural Comput., 2022

Active Learning by Query by Committee with Robust Divergences.
CoRR, 2022

Geometry of EM and related iterative algorithms.
CoRR, 2022

Gradual Domain Adaptation via Normalizing Flows.
CoRR, 2022

Information Geometry of Dropout Training.
CoRR, 2022

Domain Adaptation with Optimal Transport for Extended Variable Space.
Proceedings of the International Joint Conference on Neural Networks, 2022

One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation.
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.
Neural Process. Lett., 2021

Fast and robust multiplane single-molecule localization microscopy using a deep neural network.
Neurocomputing, 2021

α-Geodesical Skew Divergence.
Entropy, 2021

Fast symplectic integrator for Nesterov-type acceleration method.
CoRR, 2021

Stopping Criterion for Active Learning Based on Error Stability.
CoRR, 2021

Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Modal Principal Component Analysis.
Neural Comput., 2020

Active Learning: Problem Settings and Recent Developments.
CoRR, 2020

Stopping criterion for active learning based on deterministic generalization bounds.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Bayesian Optimization for Multi-objective Optimization and Multi-point Search.
CoRR, 2019

Active Learning with Interpretable Predictor.
Proceedings of the International Joint Conference on Neural Networks, 2019

On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization.
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.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Retrieved Image Refinement by Bootstrap Outlier Test.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
Toward Distribution Estimation under Local Differential Privacy with Small Samples.
Proc. Priv. Enhancing Technol., 2018

EEG dipole source localization with information criteria for multiple particle filters.
Neural Networks, 2018

Estimation of neural connections from partially observed neural spikes.
Neural Networks, 2018

Classification of volcanic ash particles using a convolutional neural network and probability.
CoRR, 2018

Information Geometric Perspective of Modal Linear Regression.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Geometrical Formulation of the Nonnegative Matrix Factorization.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Localizing Current Dipoles from EEG Data Using a Birth-Death Process.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces.
IEEE Trans. Inf. Forensics Secur., 2017

ider: Intrinsic Dimension Estimation with R.
R J., 2017

Local Intrinsic Dimension Estimation by Generalized Linear Modeling.
Neural Comput., 2017

Double sparsity for multi-frame super resolution.
Neurocomputing, 2017

2016
Nonparametric <i>e</i>-Mixture Estimation.
Neural Comput., 2016

Protein Fold Classification Using Large Margin Combination of Distance Metrics.
IEICE Trans. Inf. Syst., 2016

Doubly sparse structure in image super resolution.
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.
Proceedings of the IEEE International Conference on Identity, 2016

Non-parametric e-mixture of Density Functions.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

3D Object Recognition with Enhanced Grassmann Discriminant Analysis.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015
Entropy Power Inequality for Learning Optimal Combination of Kernel Functions.
J. Signal Process. Syst., 2015

Change-Point Detection in a Sequence of Bags-of-Data.
IEEE Trans. Knowl. Data Eng., 2015

mmpp: A Package for Calculating Similarity and Distance Metrics for Simple and Marked Temporal Point Processes.
R J., 2015

Multi-frame image super resolution based on sparse coding.
Neural Networks, 2015

Non-parametric entropy estimators based on simple linear regression.
Comput. Stat. Data Anal., 2015

Double Sparse Multi-Frame Image Super Resolution.
CoRR, 2015

Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface.
Proceedings of the Image and Video Technology - 7th Pacific-Rim Symposium, 2015

Patchworking Multiple Pairwise Distances for Learning with Distance Matrices.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Linear Discriminant Analysis with Adherent Regularization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014
Intrinsic Graph Structure Estimation Using Graph Laplacian.
Neural Comput., 2014

A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator.
Neural Comput., 2014

Sparse Coding Approach for Multi-Frame Image Super Resolution.
CoRR, 2014

Sensing Visual Attention by Sequential Patterns.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Kernel Method to Extract Common Features Based on Mutual Information.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

An Algorithm for Directed Graph Estimation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

A Non-parametric Maximum Entropy Clustering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households.
IEEE Trans. Smart Grid, 2013

Information estimators for weighted observations.
Neural Networks, 2013

Learning Ancestral Atom via Sparse Coding.
IEEE J. Sel. Top. Signal Process., 2013

Entropy-based sliced inverse regression.
Comput. Stat. Data Anal., 2013

Supervised covariance selection for linear discriminant analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Gaussian multiple kernel learning with entropy power inequality.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Pairwise Similarity for Line Extraction from Distorted Images.
Proceedings of the Computer Analysis of Images and Patterns, 2013

Combination of Multiple Distance Measures for Protein Fold Classification.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

Integration of MKL-Based and I-Vector-Based Speaker Verification by Short Utterances.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012
Multiple Kernel Learning with Gaussianity Measures.
Neural Comput., 2012

A Tree Search Approach to Sparse Coding.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Sliced inverse regression with conditional entropy minimization.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

An improved entropy-based multiple kernel learning.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Robust Hypersurface Fitting Based on Random Sampling Approximations.
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.
Neural Comput., 2011

New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices.
Proceedings of the UAI 2011, 2011

Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

A Measure of Credibility of Solar Power Prediction.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Extraction of Basic Patterns of Household Energy Consumption.
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.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Speaker recognition using multiple kernel learning based on conditional entropy minimization.
Proceedings of the IEEE International Conference on Acoustics, 2011

A Computationally Efficient Information Estimator for Weighted Data.
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.
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.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning.
Neural Comput., 2010

A Grouped Ranking Model for Item Preference Parameter.
Neural Comput., 2010

Self-Calibration of Radially Symmetric Distortion by Model Selection.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Multiple Kernel Learning by Conditional Entropy Minimization.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Item Preference Parameters from Grouped Ranking Observations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

An Information Theoretic Perspective of the Sparse Coding.
Proceedings of the Advances in Neural Networks, 2009

Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference.
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.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009


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