Calibration of Radially Symmetric Distortion by Fitting Principal Component. - Hideitsu Hino; Yumi Usami; Jun Fujiki; Shotaro Akaho; Noboru Murata (CAIP, 2009)

Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference. - Yu Fujimoto; Hideitsu Hino; Noboru Murata (KDIR, 2009)

An Information Theoretic Perspective of the Sparse Coding. - Hideitsu Hino; Noboru Murata (ISNN (1), 2009)

Item Preference Parameters from Grouped Ranking Observations. - Hideitsu Hino; Yu Fujimoto; Noboru Murata (PAKDD, 2009)

Multiple Kernel Learning by Conditional Entropy Minimization. - Hideitsu Hino; Nima Reyhani; Noboru Murata (ICMLA, 2010)

Self-Calibration of Radially Symmetric Distortion by Model Selection. - Jun Fujiki; Hideitsu Hino; Yumi Usami; Shotaro Akaho; Noboru Murata (ICPR, 2010)

A Grouped Ranking Model for Item Preference Parameter. - Hideitsu Hino; Yu Fujimoto; Noboru Murata (Neural Comput., 2010)

A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning. - Hideitsu Hino; Noboru Murata (Neural Comput., 2010)

Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile. - Jun Fujiki; Shotaro Akaho; Hideitsu Hino; Noboru Murata (CAIP (1), 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 (Computer Vision and Image Analysis of Art, 2011)

A Computationally Efficient Information Estimator for Weighted Data. - Hideitsu Hino; Noboru Murata (ICANN (2), 2011)

Speaker recognition using multiple kernel learning based on conditional entropy minimization. - Tetsuji Ogawa; Hideitsu Hino; Nima Reyhani; Noboru Murata; Tetsunori Kobayashi (ICASSP, 2011)

Calibration of radially symmetric distortion based on linearity in the calibrated image. - Jun Fujiki; Hideitsu Hino; Shotaro Akaho; Noboru Murata (ICCV Workshops, 2011)

Extraction of Basic Patterns of Household Energy Consumption. - Haoyang Shen; Hideitsu Hino; Noboru Murata; Shinji Wakao (ICMLA (2), 2011)

A Measure of Credibility of Solar Power Prediction. - Haoyang Shen; Hideitsu Hino; Noboru Murata; Shinji Wakao (ICMLA (2), 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 (INTERSPEECH, 2011)

New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices. - Nima Reyhani; Hideitsu Hino; Ricardo Vigário (UAI, 2011)

An Estimation of Generalized Bradley-Terry Models Based on the em Algorithm. - Yu Fujimoto; Hideitsu Hino; Noboru Murata (Neural Comput., 2011)

Robust Hypersurface Fitting Based on Random Sampling Approximations. - Jun Fujiki; Shotaro Akaho; Hideitsu Hino; Noboru Murata (ICONIP (3), 2012)

An improved entropy-based multiple kernel learning. - Hideitsu Hino; Tetsuji Ogawa (ICPR, 2012)

Sliced inverse regression with conditional entropy minimization. - Hideitsu Hino; Keigo Wakayama; Noboru Murata (ICPR, 2012)

A Tree Search Approach to Sparse Coding. - Rui Jorge Rei; João Pedro Pedroso; Hideitsu Hino; Noboru Murata (LION, 2012)

Multiple Kernel Learning with Gaussianity Measures. - Hideitsu Hino; Nima Reyhani; Noboru Murata (Neural Comput., 2012)

Integration of MKL-Based and I-Vector-Based Speaker Verification by Short Utterances. - Hideitsu Hino; Tetsuji Ogawa (ACPR, 2013)

Combination of Multiple Distance Measures for Protein Fold Classification. - Chendra Hadi Suryanto; Hideitsu Hino; Kazuhiro Fukui (ACPR, 2013)

Pairwise Similarity for Line Extraction from Distorted Images. - Hideitsu Hino; Jun Fujiki; Shotaro Akaho; Yoshihiko Mochizuki; Noboru Murata (CAIP (2), 2013)

Gaussian multiple kernel learning with entropy power inequality. - Hideitsu Hino (MLSP, 2013)

Supervised covariance selection for linear discriminant analysis. - Hideitsu Hino; Nima Reyhani (MLSP, 2013)

Entropy-based sliced inverse regression. - Hideitsu Hino; Keigo Wakayama; Noboru Murata (Comput. Stat. Data Anal., 2013)

Learning Ancestral Atom via Sparse Coding. - Toshimitsu Aritake; Hideitsu Hino; Noboru Murata (IEEE J. Sel. Top. Signal Process., 2013)

Information estimators for weighted observations. - Hideitsu Hino; Noboru Murata (Neural Networks, 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)

A Non-parametric Maximum Entropy Clustering. - Hideitsu Hino; Noboru Murata (ICANN, 2014)

An Algorithm for Directed Graph Estimation. - Hideitsu Hino; Atsushi Noda; Masami Tatsuno; Shotaro Akaho; Noboru Murata (ICANN, 2014)

A Kernel Method to Extract Common Features Based on Mutual Information. - Takamitsu Araki; Hideitsu Hino; Shotaro Akaho (ICONIP (2), 2014)

Sensing Visual Attention by Sequential Patterns. - Yasuyuki Yamazaki; Hideitsu Hino; Kazuhiro Fukui (ICPR, 2014)

Sparse Coding Approach for Multi-Frame Image Super Resolution. - Toshiyuki Kato; Hideitsu Hino; Noboru Murata (CoRR, 2014)

A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator. - Hideitsu Hino; Noboru Murata (Neural Comput., 2014)

Intrinsic Graph Structure Estimation Using Graph Laplacian. - Atsushi Noda; Hideitsu Hino; Masami Tatsuno; Shotaro Akaho; Noboru Murata (Neural Comput., 2014)

Linear Discriminant Analysis with Adherent Regularization. - Hideitsu Hino (LVA/ICA, 2015)

Patchworking Multiple Pairwise Distances for Learning with Distance Matrices. - Ken Takano; Hideitsu Hino; Yuki Yoshikawa; Noboru Murata (LVA/ICA, 2015)

Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface. - Takao Yoshinuma; Hideitsu Hino; Kazuhiro Fukui (PSIVT, 2015)

Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces. - Takao Murakami; Atsunori Kanemura; Hideitsu Hino (TrustCom/BigDataSE/ISPA (1), 2015)

Double Sparse Multi-Frame Image Super Resolution. - Toshiyuki Kato; Hideitsu Hino; Noboru Murata (CoRR, 2015)

Non-parametric entropy estimators based on simple linear regression. - Hideitsu Hino; Kensuke Koshijima; Noboru Murata (Comput. Stat. Data Anal., 2015)

Multi-frame image super resolution based on sparse coding. - Toshiyuki Kato; Hideitsu Hino; Noboru Murata (Neural Networks, 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)

Change-Point Detection in a Sequence of Bags-of-Data. - Kensuke Koshijima; Hideitsu Hino; Noboru Murata (IEEE Trans. Knowl. Data Eng., 2015)

Entropy Power Inequality for Learning Optimal Combination of Kernel Functions. - Hideitsu Hino (J. Signal Process. Syst., 2015)

3D Object Recognition with Enhanced Grassmann Discriminant Analysis. - Lincon Sales de Souza; Hideitsu Hino; Kazuhiro Fukui (ACCV Workshops (3), 2016)

An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. - Hideitsu Hino; Shotaro Akaho; Noboru Murata (ICONIP (2), 2016)

Non-parametric e-mixture of Density Functions. - Hideitsu Hino; Ken Takano; Shotaro Akaho; Noboru Murata (ICONIP (2), 2016)

Spotting fingerspelled words from sign language video by temporally regularized canonical component analysis. - Shohei Tanaka; Akio Okazaki; Nobuko Kato; Hideitsu Hino; Kazuhiro Fukui (ISBA, 2016)

Doubly sparse structure in image super resolution. - Toshiyuki Kato; Hideitsu Hino; Noboru Murata (MLSP, 2016)

Protein Fold Classification Using Large Margin Combination of Distance Metrics. - Chendra Hadi Suryanto; Kazuhiro Fukui; Hideitsu Hino (IEICE Trans. Inf. Syst., 2016)

Nonparametric e-Mixture Estimation. - Ken Takano; Hideitsu Hino; Shotaro Akaho; Noboru Murata (Neural Comput., 2016)

Double sparsity for multi-frame super resolution. - Toshiyuki Kato; Hideitsu Hino; Noboru Murata (Neurocomputing, 2017)

Local Intrinsic Dimension Estimation by Generalized Linear Modeling. - Hideitsu Hino; Jun Fujiki; Shotaro Akaho; Noboru Murata (Neural Comput., 2017)

ider: Intrinsic Dimension Estimation with R. - Hideitsu Hino (R J., 2017)

Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces. - Takao Murakami; Atsunori Kanemura; Hideitsu Hino (IEEE Trans. Inf. Forensics Secur., 2017)

Localizing Current Dipoles from EEG Data Using a Birth-Death Process. - Keita Nakamura; Sho Sonoda; Hideitsu Hino; Masahiro Kawasaki; Shotaro Akaho; Noboru Murata (BIBM, 2018)

Geometrical Formulation of the Nonnegative Matrix Factorization. - Shotaro Akaho; Hideitsu Hino; Neneka Nara; Noboru Murata (ICONIP (3), 2018)

Information Geometric Perspective of Modal Linear Regression. - Keishi Sando; Shotaro Akaho; Noboru Murata; Hideitsu Hino (ICONIP (3), 2018)

Classification of volcanic ash particles using a convolutional neural network and probability. - Daigo Shoji; Rina Noguchi; Shizuka Otsuki; Hideitsu Hino (CoRR, 2018)

Estimation of neural connections from partially observed neural spikes. - Taishi Iwasaki; Hideitsu Hino; Masami Tatsuno; Shotaro Akaho; Noboru Murata (Neural Networks, 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)

Toward Distribution Estimation under Local Differential Privacy with Small Samples. - Takao Murakami; Hideitsu Hino; Jun Sakuma (Proc. Priv. Enhancing Technol., 2018)

Retrieved Image Refinement by Bootstrap Outlier Test. - Hayato Watanabe; Hideitsu Hino; Shotaro Akaho; Noboru Murata (CAIP (1), 2019)

Expectation Variables on a Para-Contact Metric Manifold Exactly Derived from Master Equations. - Shin-itiro Goto; Hideitsu Hino (GSI, 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 (ICANN (1), 2019)

On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. - Shotaro Akaho; Hideitsu Hino; Noboru Murata (ICONIP (5), 2019)

Active Learning with Interpretable Predictor. - Yusuke Taguchi; Keisuke Kameyama; Hideitsu Hino (IJCNN, 2019)

Bayesian Optimization for Multi-objective Optimization and Multi-point Search. - Takashi Wada 003; Hideitsu Hino (CoRR, 2019)

Stopping criterion for active learning based on deterministic generalization bounds. - Hideaki Ishibashi; Hideitsu Hino (AISTATS, 2020)

Active Learning: Problem Settings and Recent Developments. - Hideitsu Hino (CoRR, 2020)

Modal Principal Component Analysis. - Keishi Sando; Hideitsu Hino (Neural Comput., 2020)

Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. - Takahiro Kawashima; Hayaru Shouno; Hideitsu Hino (AAAI, 2021)

Stopping Criterion for Active Learning Based on Error Stability. - Hideaki Ishibashi; Hideitsu Hino (CoRR, 2021)

Fast symplectic integrator for Nesterov-type acceleration method. - Shin-itiro Goto; Hideitsu Hino (CoRR, 2021)

α-Geodesical Skew Divergence. - Masanari Kimura; Hideitsu Hino (Entropy, 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)

Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning. - Yusuke Taguchi; Hideitsu Hino; Keisuke Kameyama (Neural Process. Lett., 2021)

One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. - Hajime Ono; Kazuhiro Minami; Hideitsu Hino (AISTATS, 2022)

Domain Adaptation with Optimal Transport for Extended Variable Space. - Toshimitsu Aritake; Hideitsu Hino (IJCNN, 2022)

Information Geometry of Dropout Training. - Masanari Kimura; Hideitsu Hino (CoRR, 2022)

Geometry of EM and related iterative algorithms. - Hideitsu Hino; Shotaro Akaho; Noboru Murata (CoRR, 2022)

Active Learning by Query by Committee with Robust Divergences. - Hideitsu Hino; Shinto Eguchi (CoRR, 2022)

Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. - Toshimitsu Aritake; Hideitsu Hino (Neural Comput., 2022)

Information Geometrically Generalized Covariate Shift Adaptation. - Masanari Kimura; Hideitsu Hino (Neural Comput., 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)

A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. - Hideaki Ishibashi; Masayuki Karasuyama; Ichiro Takeuchi; Hideitsu Hino (AISTATS, 2023)

Minorization-Maximization for Learning Determinantal Point Processes. - Takahiro Kawashima; Hideitsu Hino (Trans. Mach. Learn. Res., 2023)

Gaussian Process Koopman Mode Decomposition. - Takahiro Kawashima; Hideitsu Hino (Neural Comput., 2023)

Cost-effective framework for gradual domain adaptation with multifidelity. - Shogo Sagawa; Hideitsu Hino (Neural Networks, 2023)

ATNAS: Automatic Termination for Neural Architecture Search. - Kotaro Sakamoto; Hideaki Ishibashi; Rei Sato; Shinichi Shirakawa; Youhei Akimoto; Hideitsu Hino (Neural Networks, 2023)

Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. - Thong Pham; Shohei Shimizu; Hideitsu Hino; Tam Le (CLeaR, 2024)

Duality induced by an embedding structure of determinantal point process. - Hideitsu Hino; Keisuke Yano (CoRR, 2024)

A Short Survey on Importance Weighting for Machine Learning. - Masanari Kimura; Hideitsu Hino (Trans. Mach. Learn. Res., 2024)

Synthesizing differentially private location traces including co-locations. - Jun Narita; Takao Murakami; Hideitsu Hino; Masakatsu Nishigaki; Tetsushi Ohki (Int. J. Inf. Sec., 2024)

A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence. - Takahiro Kawashima; Hideitsu Hino (AISTATS, 2025)

Difference-of-submodular Bregman Divergence. - Masanari Kimura; Takahiro Kawashima; Tasuku Soma; Hideitsu Hino (ICLR, 2025)

Complex non-backtracking matrix for directed graphs. - Keishi Sando; Hideitsu Hino (J. Complex Networks, 2025)

Gradual Domain Adaptation via Normalizing Flows. - Shogo Sagawa; Hideitsu Hino (Neural Comput., 2025)

Dynamics of the accelerated t-SNE. - Kyoichi Iwasaki; Hideitsu Hino (Trans. Mach. Learn. Res., 2025)

Scalable Sobolev IPM for Probability Measures on a Graph. - Tam Le; Truyen Nguyen; Hideitsu Hino; Kenji Fukumizu (CoRR, 2025)

Orlicz-Sobolev Transport for Unbalanced Measures on a Graph. - Tam Le; Truyen Nguyen; Hideitsu Hino; Kenji Fukumizu (CoRR, 2025)

When should we use top coding in locally private estimation? - Hajime Ono; Kazuhiro Minami; Hideitsu Hino (Int. J. Inf. Sec., 2025)

An (ε,δ)-accurate level set estimation with a stopping criterion. - Hideaki Ishibashi; Kota Matsui; Kentaro Kutsukake; Hideitsu Hino (CoRR, 2025)

Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance. - Hiroshi Tamano; Hideitsu Hino; Daichi Mochihashi (CoRR, 2025)