Enhancing Certified Robustness in Few-Shot Classification with Contrastive Loss and Defensive Noise in Fine-Tuning.

Hideitsu Hino Hiroya Kato Seira Hidano Takao Murakami Hideitsu Hino Enhancing Certified Robustness in Few-Shot Classification with Contrastive Loss and Defensive Noise in Fine-Tuning. 169-180 2026 ICISSP (2) https://doi.org/10.5220/0014227300004061 conf/icissp/2026-2 db/conf/icissp/icissp2026-2.html#KatoHMH26

Kyoichi Iwasaki Tam Le Hideitsu Hino Sobolev-Ricci Curvature. 2026 March abs/2603.12652 CoRR https://doi.org/10.48550/arXiv.2603.12652 db/journals/corr/corr2603.html#abs-2603-12652 streams/journals/corr

Hideitsu Hino Keisuke Yano From DPPs to k-DPPs: identifiability analysis via spectral decomposition. 2026 May abs/2605.25526 CoRR https://doi.org/10.48550/arXiv.2605.25526 db/journals/corr/corr2605.html#abs-2605-25526 streams/journals/corr

Eight Suzuki Hideitsu Hino Noboru Murata LIG: Layer-wise Integrated Gradients for Within-Layer Flow Analysis in Transformers. 2026 June abs/2606.21564 CoRR https://doi.org/10.48550/arXiv.2606.21564 db/journals/corr/corr2606.html#abs-2606-21564 streams/journals/corr

Keishi Sando Hideitsu Hino Complex non-backtracking matrix for directed graphs. 2025 13 J. Complex Networks 4 https://doi.org/10.1093/comnet/cnaf012 db/journals/compnet/compnet13.html#SandoH25 streams/journals/compnet

Hajime Ono Kazuhiro Minami Hideitsu Hino When should we use top coding in locally private estimation? 28 2025 February 24 Int. J. Inf. Sec. 1 https://doi.org/10.1007/s10207-024-00942-9 db/journals/ijisec/ijisec24.html#OnoMH25 streams/journals/ijisec

Yusei Ito Yasuo Takeichi Hideitsu Hino Kanta Ono Optimal spectroscopic measurement design: Bayesian framework for rational data acquisition. 25037 2025 6 Mach. Learn. Sci. Technol. 2 https://doi.org/10.1088/2632-2153/add0f6 db/journals/mlst/mlst6.html#ItoTHO25 streams/journals/mlst

Shogo Sagawa Hideitsu Hino Gradual Domain Adaptation via Normalizing Flows. 522-568 2025 37 Neural Comput. 3 https://doi.org/10.1162/neco_a_01734 db/journals/neco/neco37.html#SagawaH25 streams/journals/neco

Kyoichi Iwasaki Hideitsu Hino Dynamics of the accelerated t-SNE. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=dfUebM9asV db/journals/tmlr/tmlr2025.html#IwasakiH25

Keishi Sando Tam Le Hideitsu Hino Tree Structure for the Categorical Wasserstein Weisfeiler-Lehman Graph Kernel. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=VwoSsFK22P db/journals/tmlr/tmlr2025.html#SandoLH25 streams/journals/tmlr

Takahiro Kawashima Hideitsu Hino A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence. 64-72 2025 AISTATS https://proceedings.mlr.press/v258/kawashima25a.html conf/aistats/2025 db/conf/aistats/aistats2025.html#KawashimaH25 streams/conf/aistats Masanari Kimura Takahiro Kawashima Tasuku Soma Hideitsu Hino Difference-of-submodular Bregman Divergence. 2025 ICLR https://openreview.net/forum?id=vr1QdCNJmN conf/iclr/2025 db/conf/iclr/iclr2025.html#KimuraKSH25 Tam Le Truyen Nguyen Hideitsu Hino Kenji Fukumizu Scalable Sobolev IPM for Probability Measures on a Graph. 2025 ICML https://proceedings.mlr.press/v267/le25a.html https://openreview.net/forum?id=VhEpf2HFr0 conf/icml/2025 db/conf/icml/icml2025.html#LeNHF25 Tam Le Truyen Nguyen Hideitsu Hino Kenji Fukumizu An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/750a56383caf20b92fe070732f969300-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#LeNHF25 Hideaki Ishibashi Kota Matsui Kentaro Kutsukake Hideitsu Hino An (ε ,δ )-Accurate Level Set Estimation with a Stopping Criterion. 52-69 2025 ECML/PKDD (2) https://doi.org/10.1007/978-3-032-05981-9_4 conf/pkdd/2025-2 db/conf/pkdd/pkdd2025-2.html#IshibashiMKH25 streams/conf/pkdd

Tam Le Truyen Nguyen Hideitsu Hino Kenji Fukumizu Scalable Sobolev IPM for Probability Measures on a Graph. 2025 February abs/2502.00737 CoRR https://doi.org/10.48550/arXiv.2502.00737 db/journals/corr/corr2502.html#abs-2502-00737 streams/journals/corr

Tam Le Truyen Nguyen Hideitsu Hino Kenji Fukumizu Orlicz-Sobolev Transport for Unbalanced Measures on a Graph. 2025 February abs/2502.00739 CoRR https://doi.org/10.48550/arXiv.2502.00739 db/journals/corr/corr2502.html#abs-2502-00739 streams/journals/corr

Hideaki Ishibashi Kota Matsui Kentaro Kutsukake Hideitsu Hino An (ε,δ)-accurate level set estimation with a stopping criterion. 2025 March abs/2503.20272 CoRR https://doi.org/10.48550/arXiv.2503.20272 db/journals/corr/corr2503.html#abs-2503-20272 streams/journals/corr

Keishi Sando Hideitsu Hino Complex non-backtracking matrix for directed graphs. 2025 July abs/2507.12503 CoRR https://doi.org/10.48550/arXiv.2507.12503 db/journals/corr/corr2507.html#abs-2507-12503 streams/journals/corr

Hiroshi Tamano Hideitsu Hino Daichi Mochihashi Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance. 2025 July abs/2507.15222 CoRR https://doi.org/10.48550/arXiv.2507.15222 db/journals/corr/corr2507.html#abs-2507-15222 streams/journals/corr

Tam Le Truyen Nguyen Hideitsu Hino Kenji Fukumizu Generalized Sobolev IPM for Graph-Based Measures. 2025 October abs/2510.25591 CoRR https://doi.org/10.48550/arXiv.2510.25591 db/journals/corr/corr2510.html#abs-2510-25591 streams/journals/corr

Jun Narita Takao Murakami Hideitsu Hino Masakatsu Nishigaki Tetsushi Ohki Synthesizing differentially private location traces including co-locations. 389-410 2024 February 23 Int. J. Inf. Sec. 1 https://doi.org/10.1007/s10207-023-00740-9 db/journals/ijisec/ijisec23.html#NaritaMHNO24

Masanari Kimura Hideitsu Hino A Short Survey on Importance Weighting for Machine Learning. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=IhXM3g2gxg db/journals/tmlr/tmlr2024.html#KimuraH24

Thong Pham Shohei Shimizu Hideitsu Hino Tam Le Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. 1118-1140 2024 CLeaR https://proceedings.mlr.press/v236/pham24a.html conf/clear2/2024 db/conf/clear2/clear2024.html#PhamSHL24

Masanari Kimura Hideitsu Hino A Short Survey on Importance Weighting for Machine Learning. 2024 abs/2403.10175 CoRR https://doi.org/10.48550/arXiv.2403.10175 db/journals/corr/corr2403.html#abs-2403-10175

Hideitsu Hino Keisuke Yano Duality induced by an embedding structure of determinantal point process. 2024 abs/2404.11024 CoRR https://doi.org/10.48550/arXiv.2404.11024 db/journals/corr/corr2404.html#abs-2404-11024

Takahiro Kawashima Hideitsu Hino A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence. 2024 abs/2408.01022 CoRR https://doi.org/10.48550/arXiv.2408.01022 db/journals/corr/corr2408.html#abs-2408-01022 streams/journals/corr

Takahiro Kawashima Hideitsu Hino Gaussian Process Koopman Mode Decomposition. 82-103 2023 January 35 Neural Comput. 1 https://doi.org/10.1162/neco_a_01555 db/journals/neco/neco35.html#KawashimaH23

Shogo Sagawa Hideitsu Hino Cost-effective framework for gradual domain adaptation with multifidelity. 731-741 2023 July 164 Neural Networks https://doi.org/10.1016/j.neunet.2023.03.035 db/journals/nn/nn164.html#SagawaH23

Kotaro Sakamoto Hideaki Ishibashi Rei Sato Shinichi Shirakawa Youhei Akimoto Hideitsu Hino ATNAS: Automatic Termination for Neural Architecture Search. 446-458 2023 September 166 Neural Networks https://doi.org/10.1016/j.neunet.2023.07.011 db/journals/nn/nn166.html#SakamotoISSAH23

Takahiro Kawashima Hideitsu Hino Minorization-Maximization for Learning Determinantal Point Processes. 2023 2023 Trans. Mach. Learn. Res. https://openreview.net/forum?id=65AzNvY73Q db/journals/tmlr/tmlr2023.html#KawashimaH23

Hideaki Ishibashi Masayuki Karasuyama Ichiro Takeuchi Hideitsu Hino A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. 6463-6497 2023 AISTATS https://proceedings.mlr.press/v206/ishibashi23a.html conf/aistats/2023 db/conf/aistats/aistats2023.html#IshibashiKTH23

Masanari Kimura Hideitsu Hino Information Geometrically Generalized Covariate Shift Adaptation. 2023 abs/2304.09387 CoRR https://doi.org/10.48550/arXiv.2304.09387 db/journals/corr/corr2304.html#abs-2304-09387

Thong Pham Shohei Shimizu Hideitsu Hino Tam Le Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. 2023 abs/2311.00927 CoRR https://doi.org/10.48550/arXiv.2311.00927 db/journals/corr/corr2311.html#abs-2311-00927

Masanari Kimura Hideitsu Hino Information Geometrically Generalized Covariate Shift Adaptation. 1944-1977 2022 34 Neural Comput. 9 https://doi.org/10.1162/neco_a_01526 db/journals/neco/neco34.html#KimuraH22

Toshimitsu Aritake Hideitsu Hino Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. 2432-2466 2022 34 Neural Comput. 12 https://doi.org/10.1162/neco_a_01549 db/journals/neco/neco34.html#AritakeH22

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. 29-39 2022 149 Neural Networks https://doi.org/10.1016/j.neunet.2022.01.023 db/journals/nn/nn149.html#NagayamaAHKMYAM22

Hajime Ono Kazuhiro Minami Hideitsu Hino One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. 2762-2783 2022 AISTATS https://proceedings.mlr.press/v151/ono22a.html conf/aistats/2022 db/conf/aistats/aistats2022.html#OnoMH22 Toshimitsu Aritake Hideitsu Hino Domain Adaptation with Optimal Transport for Extended Variable Space. 1-9 2022 IJCNN https://doi.org/10.1109/IJCNN55064.2022.9892335 conf/ijcnn/2022 db/conf/ijcnn/ijcnn2022.html#AritakeH22

Shogo Sagawa Hideitsu Hino Cost-effective Framework for Gradual Domain Adaptation with Multifidelity. 2022 abs/2202.04359 CoRR https://arxiv.org/abs/2202.04359 db/journals/corr/corr2202.html#abs-2202-04359

Hajime Ono Kazuhiro Minami Hideitsu Hino One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. 2022 abs/2202.07194 CoRR https://arxiv.org/abs/2202.07194 db/journals/corr/corr2202.html#abs-2202-07194

Masanari Kimura Hideitsu Hino Information Geometry of Dropout Training. 2022 abs/2206.10936 CoRR https://doi.org/10.48550/arXiv.2206.10936 db/journals/corr/corr2206.html#abs-2206-10936

Shogo Sagawa Hideitsu Hino Gradual Domain Adaptation via Normalizing Flows. 2022 abs/2206.11492 CoRR https://doi.org/10.48550/arXiv.2206.11492 db/journals/corr/corr2206.html#abs-2206-11492

Hideitsu Hino Shotaro Akaho Noboru Murata Geometry of EM and related iterative algorithms. 2022 abs/2209.01301 CoRR https://doi.org/10.48550/arXiv.2209.01301 db/journals/corr/corr2209.html#abs-2209-01301

Takahiro Kawashima Hideitsu Hino Gaussian Process Koopman Mode Decomposition. 2022 abs/2209.04111 CoRR https://doi.org/10.48550/arXiv.2209.04111 db/journals/corr/corr2209.html#abs-2209-04111

Toshimitsu Aritake Hideitsu Hino Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. 2022 abs/2209.04594 CoRR https://doi.org/10.48550/arXiv.2209.04594 db/journals/corr/corr2209.html#abs-2209-04594

Hideitsu Hino Shinto Eguchi Active Learning by Query by Committee with Robust Divergences. 2022 abs/2211.10013 CoRR https://doi.org/10.48550/arXiv.2211.10013 db/journals/corr/corr2211.html#abs-2211-10013

Masanari Kimura Hideitsu Hino α-Geodesical Skew Divergence. 528 2021 23 Entropy 5 https://doi.org/10.3390/e23050528 db/journals/entropy/entropy23.html#KimuraH21

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. 279-289 2021 451 Neurocomputing https://doi.org/10.1016/j.neucom.2021.04.050 db/journals/ijon/ijon451.html#AritakeHNAHM21

Yusuke Taguchi Hideitsu Hino Keisuke Kameyama Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning. 1945-1962 2021 53 Neural Process. Lett. 3 https://doi.org/10.1007/s11063-021-10476-z db/journals/npl/npl53.html#TaguchiHK21

Takahiro Kawashima Hayaru Shouno Hideitsu Hino Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. 8083-8091 2021 AAAI https://doi.org/10.1609/aaai.v35i9.16985 https://www.wikidata.org/entity/Q114050428 conf/aaai/2021 db/conf/aaai/aaai2021.html#KawashimaSH21

Masanari Kimura Hideitsu Hino $α$-Geodesical Skew Divergence. 2021 abs/2103.17060 CoRR https://arxiv.org/abs/2103.17060 db/journals/corr/corr2103.html#abs-2103-17060

Hideaki Ishibashi Hideitsu Hino Stopping Criterion for Active Learning Based on Error Stability. 2021 abs/2104.01836 CoRR https://arxiv.org/abs/2104.01836 db/journals/corr/corr2104.html#abs-2104-01836

Shin-itiro Goto Hideitsu Hino Fast symplectic integrator for Nesterov-type acceleration method. 2021 abs/2106.07620 CoRR https://arxiv.org/abs/2106.07620 db/journals/corr/corr2106.html#abs-2106-07620

Keishi Sando Hideitsu Hino Modal Principal Component Analysis. 1901-1935 2020 32 Neural Comput. 10 https://doi.org/10.1162/neco_a_01308 https://www.wikidata.org/entity/Q98469094 db/journals/neco/neco32.html#SandoH20

Hideaki Ishibashi Hideitsu Hino Stopping criterion for active learning based on deterministic generalization bounds. 386-397 2020 AISTATS http://proceedings.mlr.press/v108/ishibashi20a.html conf/aistats/2020 db/conf/aistats/aistats2020.html#IshibashiH20

Toshimitsu Aritake Hideitsu Hino Shigeyuki Namiki Daisuke Asanuma Kenzo Hirose Noboru Murata Fast and robust multiplane single molecule localization microscopy using deep neural network. 2020 abs/2001.01893 CoRR http://arxiv.org/abs/2001.01893 db/journals/corr/corr2001.html#abs-2001-01893

Hideaki Ishibashi Hideitsu Hino Stopping criterion for active learning based on deterministic generalization bounds. 2020 abs/2005.07402 CoRR https://arxiv.org/abs/2005.07402 db/journals/corr/corr2005.html#abs-2005-07402

Keishi Sando Hideitsu Hino Modal Principal Component Analysis. 2020 abs/2008.03400 CoRR https://arxiv.org/abs/2008.03400 db/journals/corr/corr2008.html#abs-2008-03400

Hideitsu Hino Active Learning: Problem Settings and Recent Developments. 2020 abs/2012.04225 CoRR https://arxiv.org/abs/2012.04225 db/journals/corr/corr2012.html#abs-2012-04225

Hayato Watanabe Hideitsu Hino Shotaro Akaho Noboru Murata Retrieved Image Refinement by Bootstrap Outlier Test. 505-517 2019 CAIP (1) https://doi.org/10.1007/978-3-030-29888-3_41 conf/caip/2019-1 db/conf/caip/caip2019-1.html#WatanabeHAM19 Shin-itiro Goto Hideitsu Hino Expectation Variables on a Para-Contact Metric Manifold Exactly Derived from Master Equations. 239-247 2019 GSI https://doi.org/10.1007/978-3-030-26980-7_25 conf/gsi/2019 db/conf/gsi/gsi2019.html#GotoH19 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. 102-113 2019 ICANN (1) https://doi.org/10.1007/978-3-030-30487-4_8 conf/icann/2019-1 db/conf/icann/icann2019-1.html#NagayamaAHKMYAM19 Shotaro Akaho Hideitsu Hino Noboru Murata On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. 262-272 2019 ICONIP (5) https://doi.org/10.1007/978-3-030-36802-9_29 conf/iconip/2019-5 db/conf/iconip/iconip2019-5.html#AkahoHM19 Yusuke Taguchi Keisuke Kameyama Hideitsu Hino Active Learning with Interpretable Predictor. 1-8 2019 IJCNN https://doi.org/10.1109/IJCNN.2019.8852041 conf/ijcnn/2019 db/conf/ijcnn/ijcnn2019.html#TaguchiKH19

Takashi Wada 0003 Hideitsu Hino Bayesian Optimization for Multi-objective Optimization and Multi-point Search. 2019 abs/1905.02370 CoRR http://arxiv.org/abs/1905.02370 db/journals/corr/corr1905.html#abs-1905-02370

Shotaro Akaho Hideitsu Hino Noboru Murata On a convergence property of a geometrical algorithm for statistical manifolds. 2019 abs/1909.12644 CoRR http://arxiv.org/abs/1909.12644 db/journals/corr/corr1909.html#abs-1909-12644

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. 68-82 2018 108 Neural Networks https://doi.org/10.1016/j.neunet.2018.08.008 https://www.wikidata.org/entity/Q91260575 db/journals/nn/nn108.html#SonodaNKHAMMK18

Taishi Iwasaki Hideitsu Hino Masami Tatsuno Shotaro Akaho Noboru Murata Estimation of neural connections from partially observed neural spikes. 172-191 2018 108 Neural Networks https://doi.org/10.1016/j.neunet.2018.07.019 https://www.wikidata.org/entity/Q91359333 db/journals/nn/nn108.html#IwasakiHTAM18

Takao Murakami Hideitsu Hino Jun Sakuma Toward Distribution Estimation under Local Differential Privacy with Small Samples. 84-104 2018 2018 Proc. Priv. Enhancing Technol. 3 https://doi.org/10.1515/popets-2018-0022 https://www.wikidata.org/entity/Q129878473 db/journals/popets/popets2018.html#MurakamiHS18

Keita Nakamura Sho Sonoda Hideitsu Hino Masahiro Kawasaki Shotaro Akaho Noboru Murata Localizing Current Dipoles from EEG Data Using a Birth-Death Process. 2645-2651 2018 BIBM https://doi.ieeecomputersociety.org/10.1109/BIBM.2018.8621504 conf/bibm/2018 db/conf/bibm/bibm2018.html#NakamuraSHKAM18 Shotaro Akaho Hideitsu Hino Neneka Nara Noboru Murata Geometrical Formulation of the Nonnegative Matrix Factorization. 525-534 2018 ICONIP (3) https://doi.org/10.1007/978-3-030-04182-3_46 conf/iconip/2018-3 db/conf/iconip/iconip2018-3.html#AkahoHNM18 Keishi Sando Shotaro Akaho Noboru Murata Hideitsu Hino Information Geometric Perspective of Modal Linear Regression. 535-545 2018 ICONIP (3) https://doi.org/10.1007/978-3-030-04182-3_47 conf/iconip/2018-3 db/conf/iconip/iconip2018-3.html#SandoAMH18

Daigo Shoji Rina Noguchi Shizuka Otsuki Hideitsu Hino Classification of volcanic ash particles using a convolutional neural network and probability. 2018 abs/1805.12353 CoRR http://arxiv.org/abs/1805.12353 db/journals/corr/corr1805.html#abs-1805-12353

Toshiyuki Kato Hideitsu Hino Noboru Murata Double sparsity for multi-frame super resolution. 115-126 2017 240 Neurocomputing https://doi.org/10.1016/j.neucom.2017.02.043 db/journals/ijon/ijon240.html#KatoHM17

Hideitsu Hino Jun Fujiki Shotaro Akaho Noboru Murata Local Intrinsic Dimension Estimation by Generalized Linear Modeling. 1838-1878 2017 29 Neural Comput. 7 https://doi.org/10.1162/NECO_a_00969 https://www.wikidata.org/entity/Q47886667 db/journals/neco/neco29.html#HinoFAM17

Hideitsu Hino ider: Intrinsic Dimension Estimation with R. 329 2017 9 R J. 2 https://doi.org/10.32614/rj-2017-054 https://www.wikidata.org/entity/Q128061071 db/journals/rjour/rjour9.html#Hino17

Takao Murakami Atsunori Kanemura Hideitsu Hino Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces. 689-704 2017 12 IEEE Trans. Inf. Forensics Secur. 3 https://doi.org/10.1109/TIFS.2016.2631952 https://www.wikidata.org/entity/Q114847688 db/journals/tifs/tifs12.html#MurakamiKH17

Chendra Hadi Suryanto Kazuhiro Fukui Hideitsu Hino Protein Fold Classification Using Large Margin Combination of Distance Metrics. 714-723 2016 99-D IEICE Trans. Inf. Syst. 3 https://doi.org/10.1587/transinf.2015EDP7294 http://search.ieice.org/bin/summary.php?id=e99-d_3_714 db/journals/ieicet/ieicet99d.html#SuryantoFH16

Ken Takano Hideitsu Hino Shotaro Akaho Noboru Murata Nonparametric e-Mixture Estimation. 2687-2725 2016 28 Neural Comput. 12 https://doi.org/10.1162/NECO_a_00888 https://www.wikidata.org/entity/Q39391745 db/journals/neco/neco28.html#TakanoHAM16

Lincon Sales de Souza Hideitsu Hino Kazuhiro Fukui 3D Object Recognition with Enhanced Grassmann Discriminant Analysis. 345-359 2016 ACCV Workshops (3) https://doi.org/10.1007/978-3-319-54526-4_26 conf/accv/2016-w3 db/conf/accv/accv2016-w3.html#SouzaHF16 Kensuke Koshijima Hideitsu Hino Noboru Murata Change-point detection in a sequence of bags-of-data. 1560-1561 2016 ICDE https://doi.org/10.1109/ICDE.2016.7498425 https://doi.ieeecomputersociety.org/10.1109/ICDE.2016.7498425 conf/icde/2016 db/conf/icde/icde2016.html#KoshijimaHM16 Hideitsu Hino Ken Takano Shotaro Akaho Noboru Murata Non-parametric e-mixture of Density Functions. 3-10 2016 ICONIP (2) https://doi.org/10.1007/978-3-319-46672-9_1 conf/iconip/2016-2 db/conf/iconip/iconip2016-2.html#HinoTAM16 Hideitsu Hino Shotaro Akaho Noboru Murata An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. 11-19 2016 ICONIP (2) https://doi.org/10.1007/978-3-319-46672-9_2 conf/iconip/2016-2 db/conf/iconip/iconip2016-2.html#HinoAM16 Shohei Tanaka Akio Okazaki Nobuko Kato Hideitsu Hino Kazuhiro Fukui Spotting fingerspelled words from sign language video by temporally regularized canonical component analysis. 1-7 2016 ISBA https://doi.org/10.1109/ISBA.2016.7477238 conf/isba/2016 db/conf/isba/isba2016.html#TanakaOKHF16 Toshiyuki Kato Hideitsu Hino Noboru Murata Doubly sparse structure in image super resolution. 1-6 2016 MLSP https://doi.org/10.1109/MLSP.2016.7738902 conf/mlsp/2016 db/conf/mlsp/mlsp2016.html#KatoHM16

Hideitsu Hino Kensuke Koshijima Noboru Murata Non-parametric entropy estimators based on simple linear regression. 72-84 2015 89 Comput. Stat. Data Anal. https://doi.org/10.1016/j.csda.2015.03.011 db/journals/csda/csda89.html#HinoKM15

Toshiyuki Kato Hideitsu Hino Noboru Murata Multi-frame image super resolution based on sparse coding. 64-78 2015 66 Neural Networks https://doi.org/10.1016/j.neunet.2015.02.009 https://www.wikidata.org/entity/Q50943338 db/journals/nn/nn66.html#KatoHM15

Hideitsu Hino Ken Takano Noboru Murata mmpp: A Package for Calculating Similarity and Distance Metrics for Simple and Marked Temporal Point Processes. 237 2015 7 R J. 2 https://doi.org/10.32614/rj-2015-033 db/journals/rjour/rjour7.html#HinoTM15

Kensuke Koshijima Hideitsu Hino Noboru Murata Change-Point Detection in a Sequence of Bags-of-Data. 2632-2644 2015 27 IEEE Trans. Knowl. Data Eng. 10 https://doi.org/10.1109/TKDE.2015.2426693 http://doi.ieeecomputersociety.org/10.1109/TKDE.2015.2426693 db/journals/tkde/tkde27.html#KoshijimaHM15

Hideitsu Hino Entropy Power Inequality for Learning Optimal Combination of Kernel Functions. 201-210 2015 79 J. Signal Process. Syst. 2 https://doi.org/10.1007/s11265-014-0899-7 db/journals/vlsisp/vlsisp79.html#Hino15

Ken Takano Hideitsu Hino Yuki Yoshikawa Noboru Murata Patchworking Multiple Pairwise Distances for Learning with Distance Matrices. 287-294 2015 LVA/ICA https://doi.org/10.1007/978-3-319-22482-4_33 conf/ica/2015 db/conf/ica/ica2015.html#TakanoHYM15 Hideitsu Hino Linear Discriminant Analysis with Adherent Regularization. 368-375 2015 LVA/ICA https://doi.org/10.1007/978-3-319-22482-4_43 conf/ica/2015 db/conf/ica/ica2015.html#Hino15 Takao Yoshinuma Hideitsu Hino Kazuhiro Fukui Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface. 433-446 2015 PSIVT https://doi.org/10.1007/978-3-319-29451-3_35 conf/psivt/2015 db/conf/psivt/psivt2015.html#YoshinumaHF15 Takao Murakami Atsunori Kanemura Hideitsu Hino Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces. 621-629 2015 TrustCom/BigDataSE/ISPA (1) https://doi.org/10.1109/Trustcom.2015.427 conf/trustcom/2015-1 db/conf/trustcom/trustcom2015-1.html#MurakamiKH15

Toshiyuki Kato Hideitsu Hino Noboru Murata Double Sparse Multi-Frame Image Super Resolution. 2015 abs/1512.00607 CoRR http://arxiv.org/abs/1512.00607 db/journals/corr/corr1512.html#KatoHM15

Atsushi Noda Hideitsu Hino Masami Tatsuno Shotaro Akaho Noboru Murata Intrinsic Graph Structure Estimation Using Graph Laplacian. 1455-1483 2014 26 Neural Comput. 7 https://doi.org/10.1162/NECO_a_00603 https://www.wikidata.org/entity/Q51096060 db/journals/neco/neco26.html#NodaHTAM14

Hideitsu Hino Noboru Murata A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator. 2074-2101 2014 26 Neural Comput. 9 https://doi.org/10.1162/NECO_a_00628 https://www.wikidata.org/entity/Q50656093 db/journals/neco/neco26.html#HinoM14

Hideitsu Hino Noboru Murata A Non-parametric Maximum Entropy Clustering. 113-120 2014 ICANN https://doi.org/10.1007/978-3-319-11179-7_15 conf/icann/2014 db/conf/icann/icann2014.html#HinoM14 Hideitsu Hino Atsushi Noda Masami Tatsuno Shotaro Akaho Noboru Murata An Algorithm for Directed Graph Estimation. 145-152 2014 ICANN https://doi.org/10.1007/978-3-319-11179-7_19 conf/icann/2014 db/conf/icann/icann2014.html#HinoNTAM14 Takamitsu Araki Hideitsu Hino Shotaro Akaho A Kernel Method to Extract Common Features Based on Mutual Information. 26-34 2014 ICONIP (2) https://doi.org/10.1007/978-3-319-12640-1_4 conf/iconip/2014-2 db/conf/iconip/iconip2014-2.html#ArakiHA14 Yasuyuki Yamazaki Hideitsu Hino Kazuhiro Fukui Sensing Visual Attention by Sequential Patterns. 483-488 2014 ICPR https://doi.org/10.1109/ICPR.2014.92 https://doi.ieeecomputersociety.org/10.1109/ICPR.2014.92 conf/icpr/2014 db/conf/icpr/icpr2014.html#YamazakiHF14

Toshiyuki Kato Hideitsu Hino Noboru Murata Sparse Coding Approach for Multi-Frame Image Super Resolution. 2014 abs/1402.3926 CoRR http://arxiv.org/abs/1402.3926 db/journals/corr/corr1402.html#KatoHM14

Hideitsu Hino Keigo Wakayama Noboru Murata Entropy-based sliced inverse regression. 105-114 2013 67 Comput. Stat. Data Anal. https://doi.org/10.1016/j.csda.2013.05.017 db/journals/csda/csda67.html#HinoWM13

Toshimitsu Aritake Hideitsu Hino Noboru Murata Learning Ancestral Atom via Sparse Coding. 586-594 2013 7 IEEE J. Sel. Top. Signal Process. 4 https://doi.org/10.1109/JSTSP.2013.2240254 db/journals/jstsp/jstsp7.html#AritakeHM13

Hideitsu Hino Noboru Murata Information estimators for weighted observations. 260-275 2013 46 Neural Networks https://doi.org/10.1016/j.neunet.2013.06.005 https://www.wikidata.org/entity/Q45958906 db/journals/nn/nn46.html#HinoM13

Hideitsu Hino Haoyang Shen Noboru Murata Shinji Wakao Yasuhiro Hayashi A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households. 1048-1057 2013 4 IEEE Trans. Smart Grid 2 https://doi.org/10.1109/TSG.2013.2240319 db/journals/tsg/tsg4.html#HinoSMWH13

Chendra Hadi Suryanto Hideitsu Hino Kazuhiro Fukui Combination of Multiple Distance Measures for Protein Fold Classification. 440-445 2013 ACPR https://doi.org/10.1109/ACPR.2013.139 conf/acpr/2013 db/conf/acpr/acpr2013.html#SuryantoHF13 Hideitsu Hino Tetsuji Ogawa Integration of MKL-Based and I-Vector-Based Speaker Verification by Short Utterances. 562-566 2013 ACPR https://doi.org/10.1109/ACPR.2013.42 conf/acpr/2013 db/conf/acpr/acpr2013.html#HinoO13 Hideitsu Hino Jun Fujiki Shotaro Akaho Yoshihiko Mochizuki Noboru Murata Pairwise Similarity for Line Extraction from Distorted Images. 250-257 2013 CAIP (2) https://doi.org/10.1007/978-3-642-40246-3_31 conf/caip/2013-2 db/conf/caip/caip2013-2.html#HinoFAMM13 Hideitsu Hino Gaussian multiple kernel learning with entropy power inequality. 1-6 2013 MLSP https://doi.org/10.1109/MLSP.2013.6661956 conf/mlsp/2013 db/conf/mlsp/mlsp2013.html#Hino13 Hideitsu Hino Nima Reyhani Supervised covariance selection for linear discriminant analysis. 1-6 2013 MLSP https://doi.org/10.1109/MLSP.2013.6661942 conf/mlsp/2013 db/conf/mlsp/mlsp2013.html#HinoR13

Hideitsu Hino Nima Reyhani Noboru Murata Multiple Kernel Learning with Gaussianity Measures. 1853-1881 2012 24 Neural Comput. 7 https://doi.org/10.1162/NECO_a_00299 db/journals/neco/neco24.html#HinoRM12

Jun Fujiki Shotaro Akaho Hideitsu Hino Noboru Murata Robust Hypersurface Fitting Based on Random Sampling Approximations. 520-527 2012 ICONIP (3) https://doi.org/10.1007/978-3-642-34487-9_63 conf/iconip/2012-3 db/conf/iconip/iconip2012-3.html#FujikiAHM12 Hideitsu Hino Keigo Wakayama Noboru Murata Sliced inverse regression with conditional entropy minimization. 1185-1188 2012 ICPR https://ieeexplore.ieee.org/document/6460349/ conf/icpr/2012 db/conf/icpr/icpr2012.html#HinoWM12 Hideitsu Hino Tetsuji Ogawa An improved entropy-based multiple kernel learning. 1189-1192 2012 ICPR https://ieeexplore.ieee.org/document/6460350/ conf/icpr/2012 db/conf/icpr/icpr2012.html#HinoO12 Rui Jorge Rei João Pedro Pedroso Hideitsu Hino Noboru Murata A Tree Search Approach to Sparse Coding. 472-477 2012 LION https://doi.org/10.1007/978-3-642-34413-8_47 conf/lion/2012 db/conf/lion/lion2012.html#ReiPHM12

Nima Reyhani Hideitsu Hino Ricardo Vigário New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices http://arxiv.org/abs/1202.3761 2012 CoRR abs/1202.3761 db/journals/corr/corr1202.html#abs-1202-3761

Yu Fujimoto Hideitsu Hino Noboru Murata An Estimation of Generalized Bradley-Terry Models Based on the em Algorithm. 1623-1659 2011 23 Neural Comput. 6 https://doi.org/10.1162/NECO_a_00129 https://www.wikidata.org/entity/Q51593433 db/journals/neco/neco23.html#FujimotoHM11

Jun Fujiki Shotaro Akaho Hideitsu Hino Noboru Murata Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile. 278-285 2011 CAIP (1) https://doi.org/10.1007/978-3-642-23672-3_34 conf/caip/2011-1 db/conf/caip/caip2011-1.html#FujikiAHM11 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. 78690F 2011 Computer Vision and Image Analysis of Art https://doi.org/10.1117/12.873194 conf/ei-cvaa/2011 db/conf/ei-cvaa/ei-cvaa2011.html#UsamiSFHAM11 Hideitsu Hino Noboru Murata A Computationally Efficient Information Estimator for Weighted Data. 301-308 2011 ICANN (2) https://doi.org/10.1007/978-3-642-21738-8_39 conf/icann/2011-2 db/conf/icann/icann2011-2.html#HinoM11 Tetsuji Ogawa Hideitsu Hino Nima Reyhani Noboru Murata Tetsunori Kobayashi Speaker recognition using multiple kernel learning based on conditional entropy minimization. 2204-2207 2011 ICASSP https://doi.org/10.1109/ICASSP.2011.5946918 conf/icassp/2011 db/conf/icassp/icassp2011.html#OgawaHRMK11 Jun Fujiki Hideitsu Hino Shotaro Akaho Noboru Murata Calibration of radially symmetric distortion based on linearity in the calibrated image. 288-295 2011 ICCV Workshops https://doi.org/10.1109/ICCVW.2011.6130255 https://doi.ieeecomputersociety.org/10.1109/ICCVW.2011.6130255 conf/iccvw/2011 db/conf/iccvw/iccvw2011.html#FujikiHAM11 Haoyang Shen Hideitsu Hino Noboru Murata Shinji Wakao Extraction of Basic Patterns of Household Energy Consumption. 275-280 2011 ICMLA (2) https://doi.org/10.1109/ICMLA.2011.68 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2011.68 conf/icmla/2011-2 db/conf/icmla/icmla2011-2.html#ShenHMW11 Haoyang Shen Hideitsu Hino Noboru Murata Shinji Wakao A Measure of Credibility of Solar Power Prediction. 286-291 2011 ICMLA (2) https://doi.org/10.1109/ICMLA.2011.14 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2011.14 conf/icmla/2011-2 db/conf/icmla/icmla2011-2.html#ShenHMW11a Tetsuji Ogawa Hideitsu Hino Noboru Murata Tetsunori Kobayashi Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization. 2741-2744 2011 INTERSPEECH conf/interspeech/2011 db/conf/interspeech/interspeech2011.html#OgawaHMK11 https://doi.org/10.21437/Interspeech.2011-152 Nima Reyhani Hideitsu Hino Ricardo Vigário New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices. 627-634 2011 UAI https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=2208&proceeding_id=27 conf/uai/2011 db/conf/uai/uai2011.html#ReyhaniHV11

Hideitsu Hino Yu Fujimoto Noboru Murata A Grouped Ranking Model for Item Preference Parameter. 2417-2451 2010 22 Neural Comput. 9 https://doi.org/10.1162/NECO_a_00008 https://www.wikidata.org/entity/Q45812694 db/journals/neco/neco22.html#HinoFM10

Hideitsu Hino Noboru Murata A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning. 2887-2923 2010 22 Neural Comput. 11 https://doi.org/10.1162/NECO_a_00027 https://www.wikidata.org/entity/Q45410578 db/journals/neco/neco22.html#HinoM10

Hideitsu Hino Nima Reyhani Noboru Murata Multiple Kernel Learning by Conditional Entropy Minimization. 223-228 2010 ICMLA https://doi.org/10.1109/ICMLA.2010.40 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2010.40 conf/icmla/2010 db/conf/icmla/icmla2010.html#HinoRM10 Jun Fujiki Hideitsu Hino Yumi Usami Shotaro Akaho Noboru Murata Self-Calibration of Radially Symmetric Distortion by Model Selection. 1812-1815 2010 ICPR https://doi.org/10.1109/ICPR.2010.447 https://doi.ieeecomputersociety.org/10.1109/ICPR.2010.447 conf/icpr/2010 db/conf/icpr/icpr2010.html#FujikiHUAM10 Hideitsu Hino Yumi Usami Jun Fujiki Shotaro Akaho Noboru Murata Calibration of Radially Symmetric Distortion by Fitting Principal Component. 149-156 2009 CAIP https://doi.org/10.1007/978-3-642-03767-2_18 conf/caip/2009 db/conf/caip/caip2009.html#HinoUFAM09 Yu Fujimoto Hideitsu Hino Noboru Murata Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference. 105-111 2009 KDIR conf/ic3k/2009kdir db/conf/ic3k/kdir2009.html#FujimotoHM09 Hideitsu Hino Noboru Murata An Information Theoretic Perspective of the Sparse Coding. 84-93 2009 ISNN (1) https://doi.org/10.1007/978-3-642-01507-6_11 conf/isnn/2009-1 db/conf/isnn/isnn2009-1.html#HinoM09 Hideitsu Hino Yu Fujimoto Noboru Murata Item Preference Parameters from Grouped Ranking Observations. 875-882 2009 PAKDD https://doi.org/10.1007/978-3-642-01307-2_91 conf/pakdd/2009 db/conf/pakdd/pakdd2009.html#HinoFM09 Shotaro Akaho Youhei Akimoto Takamitsu Araki Toshimitsu Aritake Daisuke Asanuma Shinto Eguchi Jun Fujiki Yu Fujimoto Kazuhiro Fukui Kenji Fukumizu Shin-itiro Goto Yasuhiro Hayashi Seira Hidano Kenzo Hirose Hideaki Ishibashi Yusei Ito Kyoichi Iwasaki Taishi Iwasaki Keisuke Kameyama Takeshi Kanda Yuki Kaneda Atsunori Kanemura Masayuki Karasuyama Hiroya Kato Nobuko Kato Toshiyuki Kato Masahiro Kawasaki Takahiro Kawashima Masanari Kimura Tetsunori Kobayashi Kensuke Koshijima Kentaro Kutsukake Tam Le Kota Matsui Kazuhiro Minami Eri Miyauchi Takehiro Miyazaki Daichi Mochihashi Yoshihiko Mochizuki Takao Murakami Noboru Murata Mizuo Nagayama Keita Nakamura Shigeyuki Namiki Neneka Nara Jun Narita Truyen Nguyen Masakatsu Nishigaki Atsushi Noda Rina Noguchi Tetsuji Ogawa Tetsushi Ohki Akio Okazaki Hajime Ono Kanta Ono Shizuka Otsuki João Pedro Pedroso Thong Pham Rui Jorge Rei Nima Reyhani Shogo Sagawa Kotaro Sakamoto Jun Sakuma Keishi Sando Rei Sato Haoyang Shen Shohei Shimizu Shinichi Shirakawa Daigo Shoji Hayaru Shouno Tasuku Soma Sho Sonoda Lincon Sales de Souza David G. Stork Chendra Hadi Suryanto Eight Suzuki Yusuke Taguchi Ken Takano Yasuo Takeichi Ichiro Takeuchi Hiroshi Tamano Shohei Tanaka Masami Tatsuno Yumi Usami Ricardo Vigário Takashi Wada 0003 Shinji Wakao Keigo Wakayama Hayato Watanabe Yasuyuki Yamazaki Masashi Yanagisawa Keisuke Yano Yuki Yoshikawa Takao Yoshinuma