Hideitsu Hino

发表

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

Kensuke Koshijima, Hideitsu Hino, Noboru Murata, 2015, IEEE Transactions on Knowledge and Data Engineering.

Patchworking Multiple Pairwise Distances for Learning with Distance Matrices

Hideitsu Hino, Noboru Murata, Ken Takano, 2015, LVA/ICA.

Extraction of Basic Patterns of Household Energy Consumption

Hideitsu Hino, Noboru Murata, Shinji Wakao, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Nonparametric e-Mixture Estimation

Hideitsu Hino, Noboru Murata, Ken Takano, 2016, Neural Computation.

Non-parametric e-mixture of Density Functions

Hideitsu Hino, Noboru Murata, Ken Takano, 2016, ICONIP.

A Non-parametric Maximum Entropy Clustering

Hideitsu Hino, Noboru Murata, 2014, ICANN.

A statistical model for predicting the liquid steel temperature in ladle and tundish by bootstrap filter

Hideitsu Hino, Noboru Murata, Manabu Kano, 2012 .

Entropy-based sliced inverse regression

Hideitsu Hino, Noboru Murata, Keigo Wakayama, 2013, Comput. Stat. Data Anal..

An improved entropy-based multiple kernel learning

Tetsuji Ogawa, Hideitsu Hino, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

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

Hideitsu Hino, Akio Okazaki, Shohei Tanaka, 2016, 2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA).

Modal Principal Component Analysis

Hideitsu Hino, Keishi Sando, H. Hino, 2020, Neural Computation.

Doubly sparse structure in image super resolution

Hideitsu Hino, Noboru Murata, Toshiyuki Kato, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Self-Calibration of Radially Symmetric Distortion by Model Selection

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2010, 2010 20th International Conference on Pattern Recognition.

A Tree Search Approach to Sparse Coding

Hideitsu Hino, Noboru Murata, João Pedro Pedroso, 2012, LION.

Sparse Coding Approach for Multi-Frame Image Super Resolution pdf

Hideitsu Hino, Noboru Murata, Toshiyuki Kato, 2014, ArXiv.

Information Geometric Perspective of Modal Linear Regression

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2018, ICONIP.

Local Intrinsic Dimension Estimation by Generalized Linear Modeling

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2017, Neural Computation.

Gaussian multiple kernel learning with entropy power inequality

Hideitsu Hino, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

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

Hideitsu Hino, Noboru Murata, N. Murata, 2010, Neural Computation.

A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households

Yasuhiro Hayashi, Hideitsu Hino, Noboru Murata, 2013, IEEE Transactions on Smart Grid.

Multi-frame image super resolution based on sparse coding

Hideitsu Hino, Noboru Murata, Toshiyuki Kato, 2015, Neural Networks.

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

Kensuke Koshijima, Hideitsu Hino, Noboru Murata, 2015, IEEE Trans. Knowl. Data Eng..

Graph structure modeling for multi-neuronal spike data

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2016 .

An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2016, ICONIP.

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

Hideitsu Hino, Shin-itiro Goto, 2019, GSI.

Protein Fold Classification Using Large Margin Combination of Distance Metrics

Hideitsu Hino, Kazuhiro Fukui, Chendra Hadi Suryanto, 2016, IEICE Trans. Inf. Syst..

Linear Discriminant Analysis with Adherent Regularization

Hideitsu Hino, H. Hino, 2015, LVA/ICA.

Robust Hypersurface Fitting Based on Random Sampling Approximations

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2012, ICONIP.

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

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator

Hideitsu Hino, Noboru Murata, 2014, Neural Computation.

Implementation of Replica Exchange Monte Carlo on 4DVar for Global Optimization

Naoshi Hirata, Hideitsu Hino, Kenji Nagata, 2019 .

Single-molecule localization by voxel-wise regression using convolutional neural network

Hideitsu Hino, Noboru Murata, Toshimitsu Aritake, 2020 .

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

Hideitsu Hino, Daigo Shoji, Rina Noguchi, 2018, Scientific Reports.

Multiple Kernel Learning by Conditional Entropy Minimization

Hideitsu Hino, Noboru Murata, Nima Reyhani, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

A Study of Data Visualization and Estimation of Physical Parameter using Dimensional Reduction of Spectrum

Masato Kotsugi, Hideitsu Hino, Kanta Ono, 2018 .

Intrinsic Graph Structure Estimation Using Graph Laplacian

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2014, Neural Computation.

Calibration of Radially Symmetric Distortion by Fitting Principal Component

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2009, CAIP.

Geometrical Formulation of the Nonnegative Matrix Factorization

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2018, ICONIP.

An Information Theoretic Perspective of the Sparse Coding

Hideitsu Hino, Noboru Murata, H. Hino, 2009, ISNN.

Sparse feature selection for clustering and sample-wise distance, with application to geochemical data

Hideitsu Hino, Kenta Ueki, 2017 .

Information estimators for weighted observations

Hideitsu Hino, Noboru Murata, N. Murata, 2013, Neural Networks.

3D Object Recognition with Enhanced Grassmann Discriminant Analysis

Hideitsu Hino, Kazuhiro Fukui, Lincon Sales de Souza, 2016, ACCV Workshops.

Non-parametric entropy estimators based on simple linear regression

Kensuke Koshijima, Hideitsu Hino, Noboru Murata, 2015, Comput. Stat. Data Anal..

The YUIMA Project: A Computational Framework for Simulation and Inference of Stochastic Differential Equations

Hideitsu Hino, Nakahiro Yoshida, Stefano M. Iacus, 2014 .

Active Learning: Problem Settings and Recent Developments pdf

Hideitsu Hino, H. Hino, 2020, ArXiv.

Sensitivity Analysis for Controlling Molten Steel Temperature in Tundish* *This study has been partially supported by the grant from ISIJ as an activity of research group, “High Precision Process Control via Large Scale Database and Simulation Models''.

Hideitsu Hino, Noboru Murata, Manabu Kano, 2012 .

Sensing Visual Attention by Sequential Patterns

Hideitsu Hino, Yasuyuki Yamazaki, Kazuhiro Fukui, 2014, 2014 22nd International Conference on Pattern Recognition.

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

Hideitsu Hino, Noboru Murata, Yu Fujimoto, 2009, KDIR.

An Estimation of Generalized Bradley-Terry Models Based on the em Algorithm

Hideitsu Hino, Noboru Murata, Yu Fujimoto, 2011, Neural Computation.

New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices

Hideitsu Hino, Nima Reyhani, Ricardo Vigário, 2011, UAI.

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

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2011, Electronic Imaging.

Entropy Power Inequality for Learning Optimal Combination of Kernel Functions

Hideitsu Hino, 2015, J. Signal Process. Syst..

Supervised covariance selection for linear discriminant analysis

Hideitsu Hino, Nima Reyhani, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

A Measure of Credibility of Solar Power Prediction

Hideitsu Hino, Noboru Murata, Shinji Wakao, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Estimation of neural connections from partially observed neural spikes

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2017, Neural Networks.

A Computationally Efficient Information Estimator for Weighted Data

Hideitsu Hino, Noboru Murata, 2011, ICANN.

Localizing Current Dipoles from EEG Data Using a Birth–Death Process

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Sliced inverse regression with conditional entropy minimization

Hideitsu Hino, Noboru Murata, Keigo Wakayama, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Retrieved Image Refinement by Bootstrap Outlier Test

Hideitsu Hino, Shotaro Akaho, Noboru Murata, 2019, CAIP.

An Algorithm for Directed Graph Estimation

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2014, ICANN.

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

Hideitsu Hino, Takashi Wada, H. Hino, 2018, ArXiv.

On a convergence property of a geometrical algorithm for statistical manifolds

Hideitsu Hino, Shotaro Akaho, Noboru Murata, 2019, ICONIP.

Yoshihiko Mochizuki, Jun Fujiki, Hideitsu Hino, 2013, CAIP.

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

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2011, CAIP.

Entry-Control Systems Using Probability of Presence

Hideitsu Hino, Kenta Takahashi, Yoshiaki Isobe, 2006 .

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

Hideitsu Hino, Noboru Murata, Ken Takano, 2015, R J..

Introduction to Sparse Modeling

Hideitsu Hino, H. Hino, 2014 .

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

Hideitsu Hino, Shotaro Akaho, Takehiro Miyazaki, 2019, ICANN.

EEG dipole source localization with information criteria for multiple particle filters

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2018, Neural Networks.

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

Hideitsu Hino, Takao Murakami, Atsunori Kanemura, 2017, IEEE Transactions on Information Forensics and Security.

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

Tetsuji Ogawa, Hideitsu Hino, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

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

Hideitsu Hino, Kazuhiro Fukui, Takao Yoshinuma, 2015, PSIVT.

Stopping criterion for active learning based on deterministic generalization bounds

Hideitsu Hino, Hideaki Ishibashi, H. Hino, 2020, AISTATS.

Geodetic inversion for spatial distribution of slow earthquakes under sparsity constraint (Fused Lasso)

Hideitsu Hino, Takane Hori, Masato Okada, 2016 .

Toward Distribution Estimation under Local Differential Privacy with Small Samples

Jun Sakuma, Hideitsu Hino, Takao Murakami, 2018, Proc. Priv. Enhancing Technol..

A Grouped Ranking Model for Item Preference Parameter

Hideitsu Hino, Noboru Murata, Yu Fujimoto, 2010, Neural Computation.

Item Preference Parameters from Grouped Ranking Observations

Hideitsu Hino, Noboru Murata, Yu Fujimoto, 2009, PAKDD.

Double sparsity for multi-frame super resolution

Hideitsu Hino, Noboru Murata, Toshiyuki Kato, 2017, Neurocomputing.

Speaker recognition using multiple kernel learning based on conditional entropy minimization

Tetsuji Ogawa, Tetsunori Kobayashi, Hideitsu Hino, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

ider: Intrinsic Dimension Estimation with R

Hideitsu Hino, 2017, R J..

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

Tetsuji Ogawa, Tetsunori Kobayashi, Hideitsu Hino, 2011, INTERSPEECH.

Combination of Multiple Distance Measures for Protein Fold Classification

Hideitsu Hino, Kazuhiro Fukui, Chendra Hadi Suryanto, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

Fast and robust multiplane single molecule localization microscopy using deep neural network pdf

Hideitsu Hino, Noboru Murata, Toshimitsu Aritake, 2020, Neurocomputing.

Multiple Kernel Learning with Gaussianity Measures

Hideitsu Hino, Noboru Murata, Nima Reyhani, 2012, Neural Computation.

Double Sparse Multi-Frame Image Super Resolution pdf

Hideitsu Hino, Noboru Murata, Toshiyuki Kato, 2015, ArXiv.

Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces

Hideitsu Hino, Takao Murakami, Atsunori Kanemura, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Active Learning with Interpretable Predictor

Hideitsu Hino, Keisuke Kameyama, Yusuke Taguchi, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

A Kernel Method to Extract Common Features Based on Mutual Information

Hideitsu Hino, Shotaro Akaho, Takamitsu Araki, 2014, ICONIP.

Learning Ancestral Atom via Sparse Coding

Hideitsu Hino, Noboru Murata, Toshimitsu Aritake, 2013, IEEE Journal of Selected Topics in Signal Processing.

Fast symplectic integrator for Nesterov-type acceleration method pdf

Hideitsu Hino, Shin-itiro Goto, 2021, ArXiv.

Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization

Hideitsu Hino, Hayaru Shouno, Takahiro Kawashima, 2021, AAAI.

Stopping Criterion for Active Learning Based on Error Stability pdf

Hideitsu Hino, Hideaki Ishibashi, H. Hino, 2021, ArXiv.

$alpha$-Geodesical Skew Divergence

Hideitsu Hino, Masanari Kimura, 2021 .

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

Keisuke Kameyama, Hideitsu Hino, Yusuke Taguchi, 2021, Neural Process. Lett..

Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation

Hideitsu Hino, Akinori Asahara, Masao Yano, 2019, Scientific Reports.

Geochemical Discrimination and Characteristics of Magmatic Tectonic Settings: A Machine‐Learning‐Based Approach

Hideitsu Hino, Tatsu Kuwatani, Kenta Ueki, 2017, 1712.09016.

Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling

Hideitsu Hino, Masahiro Sawada, Kanta Ono, 2018, npj Computational Materials.

New classification method of volcanic ash samples using statistically determined grain types

Hideitsu Hino, Nobuo Geshi, Kei Kurita, 2017 .

DISTANCE-BASED CHANGE-POINT DETECTION WITH ENTROPY ESTIMATION

Kensuke Koshijima, Hideitsu Hino, Noboru Murata, 2013 .