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2020 – today
- 2025
[j38]Hajime Ono, Kazuhiro Minami, Hideitsu Hino:
When should we use top coding in locally private estimation? Int. J. Inf. Sec. 24(1): 28 (2025)- 2024
- [j37]Jun Narita, Takao Murakami, Hideitsu Hino, Masakatsu Nishigaki, Tetsushi Ohki
:
Synthesizing differentially private location traces including co-locations. Int. J. Inf. Sec. 23(1): 389-410 (2024) - [j36]Masanari Kimura, Hideitsu Hino:
A Short Survey on Importance Weighting for Machine Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c52]Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le:
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CLeaR 2024: 1118-1140 - [i26]Masanari Kimura, Hideitsu Hino:
A Short Survey on Importance Weighting for Machine Learning. CoRR abs/2403.10175 (2024) - [i25]Hideitsu Hino, Keisuke Yano:
Duality induced by an embedding structure of determinantal point process. CoRR abs/2404.11024 (2024) - [i24]Takahiro Kawashima, Hideitsu Hino:
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence. CoRR abs/2408.01022 (2024) - 2023
- [j35]Takahiro Kawashima, Hideitsu Hino:
Gaussian Process Koopman Mode Decomposition. Neural Comput. 35(1): 82-103 (2023) - [j34]Shogo Sagawa, Hideitsu Hino:
Cost-effective framework for gradual domain adaptation with multifidelity. Neural Networks 164: 731-741 (2023) - [j33]Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino:
ATNAS: Automatic Termination for Neural Architecture Search. Neural Networks 166: 446-458 (2023) - [j32]Takahiro Kawashima, Hideitsu Hino:
Minorization-Maximization for Learning Determinantal Point Processes. Trans. Mach. Learn. Res. 2023 (2023) - [c51]Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino:
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. AISTATS 2023: 6463-6497 - [i23]Masanari Kimura, Hideitsu Hino:
Information Geometrically Generalized Covariate Shift Adaptation. CoRR abs/2304.09387 (2023) - [i22]Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le:
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CoRR abs/2311.00927 (2023) - 2022
- [j31]Masanari Kimura, Hideitsu Hino:
Information Geometrically Generalized Covariate Shift Adaptation. Neural Comput. 34(9): 1944-1977 (2022) - [j30]Toshimitsu Aritake, Hideitsu Hino:
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. Neural Comput. 34(12): 2432-2466 (2022) - [j29]Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata:
Detecting cell assemblies by NMF-based clustering from calcium imaging data. Neural Networks 149: 29-39 (2022) - [c50]Hajime Ono, Kazuhiro Minami, Hideitsu Hino:
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. AISTATS 2022: 2762-2783 - [c49]Toshimitsu Aritake, Hideitsu Hino:
Domain Adaptation with Optimal Transport for Extended Variable Space. IJCNN 2022: 1-9 - [i21]Shogo Sagawa, Hideitsu Hino:
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity. CoRR abs/2202.04359 (2022) - [i20]Hajime Ono, Kazuhiro Minami, Hideitsu Hino:
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. CoRR abs/2202.07194 (2022) - [i19]Masanari Kimura, Hideitsu Hino:
Information Geometry of Dropout Training. CoRR abs/2206.10936 (2022) - [i18]Shogo Sagawa, Hideitsu Hino:
Gradual Domain Adaptation via Normalizing Flows. CoRR abs/2206.11492 (2022) - [i17]Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Geometry of EM and related iterative algorithms. CoRR abs/2209.01301 (2022) - [i16]Takahiro Kawashima, Hideitsu Hino:
Gaussian Process Koopman Mode Decomposition. CoRR abs/2209.04111 (2022) - [i15]Toshimitsu Aritake, Hideitsu Hino:
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. CoRR abs/2209.04594 (2022) - [i14]Hideitsu Hino, Shinto Eguchi:
Active Learning by Query by Committee with Robust Divergences. CoRR abs/2211.10013 (2022) - 2021
- [j28]Masanari Kimura, Hideitsu Hino:
α-Geodesical Skew Divergence. Entropy 23(5): 528 (2021) - [j27]Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata:
Fast and robust multiplane single-molecule localization microscopy using a deep neural network. Neurocomputing 451: 279-289 (2021) - [j26]Yusuke Taguchi, Hideitsu Hino, Keisuke Kameyama:
Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning. Neural Process. Lett. 53(3): 1945-1962 (2021) - [c48]Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino:
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. AAAI 2021: 8083-8091 - [i13]Masanari Kimura, Hideitsu Hino:
$α$-Geodesical Skew Divergence. CoRR abs/2103.17060 (2021) - [i12]Hideaki Ishibashi, Hideitsu Hino:
Stopping Criterion for Active Learning Based on Error Stability. CoRR abs/2104.01836 (2021) - [i11]Shin-itiro Goto, Hideitsu Hino:
Fast symplectic integrator for Nesterov-type acceleration method. CoRR abs/2106.07620 (2021) - 2020
- [j25]Keishi Sando, Hideitsu Hino:
Modal Principal Component Analysis. Neural Comput. 32(10): 1901-1935 (2020) - [c47]Hideaki Ishibashi, Hideitsu Hino:
Stopping criterion for active learning based on deterministic generalization bounds. AISTATS 2020: 386-397 - [i10]Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata:
Fast and robust multiplane single molecule localization microscopy using deep neural network. CoRR abs/2001.01893 (2020) - [i9]Hideaki Ishibashi, Hideitsu Hino:
Stopping criterion for active learning based on deterministic generalization bounds. CoRR abs/2005.07402 (2020) - [i8]Keishi Sando, Hideitsu Hino:
Modal Principal Component Analysis. CoRR abs/2008.03400 (2020) - [i7]Hideitsu Hino:
Active Learning: Problem Settings and Recent Developments. CoRR abs/2012.04225 (2020)
2010 – 2019
- 2019
- [c46]Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Retrieved Image Refinement by Bootstrap Outlier Test. CAIP (1) 2019: 505-517 - [c45]Shin-itiro Goto, Hideitsu Hino:
Expectation Variables on a Para-Contact Metric Manifold Exactly Derived from Master Equations. GSI 2019: 239-247 - [c44]Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata:
Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. ICANN (1) 2019: 102-113 - [c43]Shotaro Akaho, Hideitsu Hino, Noboru Murata:
On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. ICONIP (5) 2019: 262-272 - [c42]Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino:
Active Learning with Interpretable Predictor. IJCNN 2019: 1-8 - [i6]Takashi Wada, Hideitsu Hino:
Bayesian Optimization for Multi-objective Optimization and Multi-point Search. CoRR abs/1905.02370 (2019) - [i5]Shotaro Akaho, Hideitsu Hino, Noboru Murata:
On a convergence property of a geometrical algorithm for statistical manifolds. CoRR abs/1909.12644 (2019) - 2018
- [j24]Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho, Noboru Murata, Eri Miyauchi, Masahiro Kawasaki:
EEG dipole source localization with information criteria for multiple particle filters. Neural Networks 108: 68-82 (2018) - [j23]Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
Estimation of neural connections from partially observed neural spikes. Neural Networks 108: 172-191 (2018) - [j22]Takao Murakami, Hideitsu Hino, Jun Sakuma:
Toward Distribution Estimation under Local Differential Privacy with Small Samples. Proc. Priv. Enhancing Technol. 2018(3): 84-104 (2018) - [c41]Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata:
Localizing Current Dipoles from EEG Data Using a Birth-Death Process. BIBM 2018: 2645-2651 - [c40]Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata:
Geometrical Formulation of the Nonnegative Matrix Factorization. ICONIP (3) 2018: 525-534 - [c39]Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino:
Information Geometric Perspective of Modal Linear Regression. ICONIP (3) 2018: 535-545 - [i4]Daigo Shoji, Rina Noguchi, Shizuka Otsuki, Hideitsu Hino:
Classification of volcanic ash particles using a convolutional neural network and probability. CoRR abs/1805.12353 (2018) - 2017
- [j21]Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Double sparsity for multi-frame super resolution. Neurocomputing 240: 115-126 (2017) - [j20]Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata:
Local Intrinsic Dimension Estimation by Generalized Linear Modeling. Neural Comput. 29(7): 1838-1878 (2017) - [j19]Hideitsu Hino:
ider: Intrinsic Dimension Estimation with R. R J. 9(2): 329 (2017) - [j18]Takao Murakami, Atsunori Kanemura, Hideitsu Hino:
Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces. IEEE Trans. Inf. Forensics Secur. 12(3): 689-704 (2017) - 2016
- [j17]Chendra Hadi Suryanto, Kazuhiro Fukui, Hideitsu Hino:
Protein Fold Classification Using Large Margin Combination of Distance Metrics. IEICE Trans. Inf. Syst. 99-D(3): 714-723 (2016) - [j16]Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Nonparametric e-Mixture Estimation. Neural Comput. 28(12): 2687-2725 (2016) - [c38]Lincon Sales de Souza, Hideitsu Hino, Kazuhiro Fukui:
3D Object Recognition with Enhanced Grassmann Discriminant Analysis. ACCV Workshops (3) 2016: 345-359 - [c37]Kensuke Koshijima, Hideitsu Hino, Noboru Murata:
Change-point detection in a sequence of bags-of-data. ICDE 2016: 1560-1561 - [c36]Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata:
Non-parametric e-mixture of Density Functions. ICONIP (2) 2016: 3-10 - [c35]Hideitsu Hino, Shotaro Akaho, Noboru Murata:
An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. ICONIP (2) 2016: 11-19 - [c34]Shohei Tanaka, Akio Okazaki, Nobuko Kato, Hideitsu Hino, Kazuhiro Fukui:
Spotting fingerspelled words from sign language video by temporally regularized canonical component analysis. ISBA 2016: 1-7 - [c33]Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Doubly sparse structure in image super resolution. MLSP 2016: 1-6 - 2015
- [j15]Hideitsu Hino, Kensuke Koshijima, Noboru Murata:
Non-parametric entropy estimators based on simple linear regression. Comput. Stat. Data Anal. 89: 72-84 (2015) - [j14]Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Multi-frame image super resolution based on sparse coding. Neural Networks 66: 64-78 (2015) - [j13]Hideitsu Hino, Ken Takano, Noboru Murata:
mmpp: A Package for Calculating Similarity and Distance Metrics for Simple and Marked Temporal Point Processes. R J. 7(2): 237 (2015) - [j12]Kensuke Koshijima, Hideitsu Hino, Noboru Murata:
Change-Point Detection in a Sequence of Bags-of-Data. IEEE Trans. Knowl. Data Eng. 27(10): 2632-2644 (2015) - [j11]Hideitsu Hino:
Entropy Power Inequality for Learning Optimal Combination of Kernel Functions. J. Signal Process. Syst. 79(2): 201-210 (2015) - [c32]Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata:
Patchworking Multiple Pairwise Distances for Learning with Distance Matrices. LVA/ICA 2015: 287-294 - [c31]Hideitsu Hino:
Linear Discriminant Analysis with Adherent Regularization. LVA/ICA 2015: 368-375 - [c30]Takao Yoshinuma, Hideitsu Hino, Kazuhiro Fukui:
Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface. PSIVT 2015: 433-446 - [c29]Takao Murakami, Atsunori Kanemura, Hideitsu Hino:
Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces. TrustCom/BigDataSE/ISPA (1) 2015: 621-629 - [i3]Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Double Sparse Multi-Frame Image Super Resolution. CoRR abs/1512.00607 (2015) - 2014
- [j10]Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
Intrinsic Graph Structure Estimation Using Graph Laplacian. Neural Comput. 26(7): 1455-1483 (2014) - [j9]Hideitsu Hino, Noboru Murata:
A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator. Neural Comput. 26(9): 2074-2101 (2014) - [c28]Hideitsu Hino, Noboru Murata:
A Non-parametric Maximum Entropy Clustering. ICANN 2014: 113-120 - [c27]Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
An Algorithm for Directed Graph Estimation. ICANN 2014: 145-152 - [c26]Takamitsu Araki, Hideitsu Hino, Shotaro Akaho:
A Kernel Method to Extract Common Features Based on Mutual Information. ICONIP (2) 2014: 26-34 - [c25]Yasuyuki Yamazaki, Hideitsu Hino, Kazuhiro Fukui:
Sensing Visual Attention by Sequential Patterns. ICPR 2014: 483-488 - [i2]Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Sparse Coding Approach for Multi-Frame Image Super Resolution. CoRR abs/1402.3926 (2014) - 2013
- [j8]Hideitsu Hino, Keigo Wakayama, Noboru Murata:
Entropy-based sliced inverse regression. Comput. Stat. Data Anal. 67: 105-114 (2013) - [j7]Toshimitsu Aritake, Hideitsu Hino, Noboru Murata:
Learning Ancestral Atom via Sparse Coding. IEEE J. Sel. Top. Signal Process. 7(4): 586-594 (2013) - [j6]Hideitsu Hino, Noboru Murata:
Information estimators for weighted observations. Neural Networks 46: 260-275 (2013) - [j5]Hideitsu Hino, Haoyang Shen, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi:
A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households. IEEE Trans. Smart Grid 4(2): 1048-1057 (2013) - [c24]Chendra Hadi Suryanto, Hideitsu Hino, Kazuhiro Fukui:
Combination of Multiple Distance Measures for Protein Fold Classification. ACPR 2013: 440-445 - [c23]Hideitsu Hino, Tetsuji Ogawa:
Integration of MKL-Based and I-Vector-Based Speaker Verification by Short Utterances. ACPR 2013: 562-566 - [c22]Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata:
Pairwise Similarity for Line Extraction from Distorted Images. CAIP (2) 2013: 250-257 - [c21]Hideitsu Hino:
Gaussian multiple kernel learning with entropy power inequality. MLSP 2013: 1-6 - [c20]Hideitsu Hino, Nima Reyhani:
Supervised covariance selection for linear discriminant analysis. MLSP 2013: 1-6 - 2012
- [j4]Hideitsu Hino, Nima Reyhani, Noboru Murata:
Multiple Kernel Learning with Gaussianity Measures. Neural Comput. 24(7): 1853-1881 (2012) - [c19]Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata:
Robust Hypersurface Fitting Based on Random Sampling Approximations. ICONIP (3) 2012: 520-527 - [c18]Hideitsu Hino, Keigo Wakayama, Noboru Murata:
Sliced inverse regression with conditional entropy minimization. ICPR 2012: 1185-1188 - [c17]Hideitsu Hino, Tetsuji Ogawa:
An improved entropy-based multiple kernel learning. ICPR 2012: 1189-1192 - [c16]Rui Jorge Rei, João Pedro Pedroso, Hideitsu Hino, Noboru Murata:
A Tree Search Approach to Sparse Coding. LION 2012: 472-477 - [i1]Nima Reyhani, Hideitsu Hino, Ricardo Vigário:
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices. CoRR abs/1202.3761 (2012) - 2011
- [j3]Yu Fujimoto, Hideitsu Hino, Noboru Murata:
An Estimation of Generalized Bradley-Terry Models Based on the em Algorithm. Neural Comput. 23(6): 1623-1659 (2011) - [c15]Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata:
Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile. CAIP (1) 2011: 278-285 - [c14]Yumi Usami, David G. Stork, Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino. Computer Vision and Image Analysis of Art 2011: 78690F - [c13]Hideitsu Hino, Noboru Murata:
A Computationally Efficient Information Estimator for Weighted Data. ICANN (2) 2011: 301-308 - [c12]Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi:
Speaker recognition using multiple kernel learning based on conditional entropy minimization. ICASSP 2011: 2204-2207 - [c11]Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Calibration of radially symmetric distortion based on linearity in the calibrated image. ICCV Workshops 2011: 288-295 - [c10]Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao:
Extraction of Basic Patterns of Household Energy Consumption. ICMLA (2) 2011: 275-280 - [c9]Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao:
A Measure of Credibility of Solar Power Prediction. ICMLA (2) 2011: 286-291 - [c8]Tetsuji Ogawa, Hideitsu Hino, Noboru Murata, Tetsunori Kobayashi:
Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization. INTERSPEECH 2011: 2741-2744 - [c7]Nima Reyhani, Hideitsu Hino, Ricardo Vigário:
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices. UAI 2011: 627-634 - 2010
- [j2]Hideitsu Hino, Yu Fujimoto, Noboru Murata:
A Grouped Ranking Model for Item Preference Parameter. Neural Comput. 22(9): 2417-2451 (2010) - [j1]Hideitsu Hino, Noboru Murata:
A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning. Neural Comput. 22(11): 2887-2923 (2010) - [c6]Hideitsu Hino, Nima Reyhani, Noboru Murata:
Multiple Kernel Learning by Conditional Entropy Minimization. ICMLA 2010: 223-228 - [c5]Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata:
Self-Calibration of Radially Symmetric Distortion by Model Selection. ICPR 2010: 1812-1815
2000 – 2009
- 2009
- [c4]Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata:
Calibration of Radially Symmetric Distortion by Fitting Principal Component. CAIP 2009: 149-156 - [c3]Yu Fujimoto, Hideitsu Hino, Noboru Murata:
Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference. KDIR 2009: 105-111 - [c2]Hideitsu Hino, Noboru Murata:
An Information Theoretic Perspective of the Sparse Coding. ISNN (1) 2009: 84-93 - [c1]Hideitsu Hino, Yu Fujimoto, Noboru Murata:
Item Preference Parameters from Grouped Ranking Observations. PAKDD 2009: 875-882
Coauthor Index
[j29] [i17] [j27] [i10] [c46] [c44] [c43] [i5] [j24] [j23] [c41] [c40] [c39] [j21] [j20] [j16] [c37] [c36] [c35] [c33] [j15] [j14] [j13] [j12] [c32] [i3] [j10] [j9] [c28] [c27] [i2] [j8] [j7] [j6] [j5] [c22] [j4] [c19] [c18] [c16] [j3] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j2] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
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