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2020 – today
- 2024
[j22]Wenyi Liu
, Takehisa Yairi:
A Unifying View of Multivariate State Space Models for Soft Sensors in Industrial Processes. IEEE Access 12: 5920-5932 (2024)- [j21]Christopher Aaron O'Hara, Takehisa Yairi:
Graph-based meta-learning for context-aware sensor management in nonlinear safety-critical environments. Adv. Robotics 38(6): 368-385 (2024) - [j20]Samir Khan, Takehisa Yairi, Seiji Tsutsumi, Shinichi Nakasuka:
A review of physics-based learning for system health management. Annu. Rev. Control. 57: 100932 (2024) - [j19]Masanao Natsumeda, Takehisa Yairi:
Feature Selection With Partial Autoencoding for Zero-Sample Fault Diagnosis. IEEE Trans. Ind. Informatics 20(2): 2144-2153 (2024) - [j18]Masanao Natsumeda, Takehisa Yairi:
Consistent Pretext and Auxiliary Tasks With Relative Remaining Useful Life Estimation. IEEE Trans. Ind. Informatics 20(4): 6879-6888 (2024) - 2023
- [c55]Ryosuke Takayama, Masanao Natsumeda, Takehisa Yairi:
A semi-supervised RUL prediction with likelihood-based pseudo labeling for suspension histories. ICPHM 2023: 296-303 - [c54]Ryota Yagi, Takehisa Yairi, Akira Iwasaki:
Navigating the Metaverse: UAV-Based Cross-View Geo-Localization in Virtual Worlds. UAVM 2023: 13-17 - 2022
- [j17]Phong X. Nguyen, Tho H. Tran, Nguyen B. Pham, Dung N. Do, Takehisa Yairi:
Human Language Explanation for a Decision Making Agent via Automated Rationale Generation. IEEE Access 10: 110727-110741 (2022) - [j16]Ryosuke Matsuo, Shinya Yasuda, Taichi Kumagai, Natsuhiko Sato, Hiroshi Yoshida, Takehisa Yairi:
Residual reinforcement learning for logistics cart transportation. Adv. Robotics 36(8): 404-421 (2022) - [j15]Phong X. Nguyen, Hung Q. Cao, Khang V. T. Nguyen, Hung Nguyen, Takehisa Yairi:
SeCAM: Tightly Accelerate the Image Explanation via Region-Based Segmentation. IEICE Trans. Inf. Syst. 105-D(8): 1401-1417 (2022) - [c53]Koji Minoda, Takehisa Yairi:
3D Human Pose Estimation in Weightless Environments Using a Fisheye Camera. IROS 2022: 4100-4105 - [c52]Takahiro Hori, Takehisa Yairi:
Low-Latency LiDAR Semantic Segmentation. IROS 2022: 9886-9891 - [c51]Wenyi Liu, Takehisa Yairi, Nana Tamai:
Feature selection for quality prediction under distribution shift. SICE 2022: 548-552 - [c50]Ryosuke Takayama, Takehisa Yairi, Nana Tamai:
Nonstationary and Sparse Linear Regression for State Prediction of Artificial Systems. SICE 2022: 553-558 - [c49]Osamu Yoshimatsu, Takehisa Yairi:
Impact Analysis of Evaluation Task Setting on a Public Dataset for Rolling Bearing Diagnostics Using Deep Learning. SICE 2022: 728-733 - [d1]Danielle DeLatte, Sarah T. Crites, Nicholas Guttenberg, Elizabeth J. Tasker, Takehisa Yairi:
Mars Crater Segmentation Dataset. IEEE DataPort, 2022
- 2021
- [j14]Samir Khan, Seiji Tsutsumi, Takehisa Yairi, Shinichi Nakasuka:
Robustness of AI-based prognostic and systems health management. Annu. Rev. Control. 51: 130-152 (2021) - [j13]Koji Minoda, Fabian Schilling, Valentin Wüest, Dario Floreano, Takehisa Yairi:
VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments. IEEE Robotics Autom. Lett. 6(2): 1343-1350 (2021) - [i5]Koji Minoda, Fabian Schilling, Valentin Wüest, Dario Floreano, Takehisa Yairi:
VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments. CoRR abs/2102.05965 (2021) - 2020
- [i4]Chun Fui Liew, Takehisa Yairi:
Companion Unmanned Aerial Vehicles: A Survey. CoRR abs/2001.04637 (2020)
2010 – 2019
- 2019
- [j12]Samir Khan, Chun Fui Liew, Takehisa Yairi, Richard McWilliam:
Unsupervised anomaly detection in unmanned aerial vehicles. Appl. Soft Comput. 83 (2019) - [j11]Danielle DeLatte, Sarah T. Crites, Nicholas Guttenberg, Elizabeth J. Tasker, Takehisa Yairi:
Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 2944-2957 (2019) - [c48]Riku Sasaki, Naoya Takeishi, Takehisa Yairi, Koichi Hori:
Neural Gray-Box Identification of Nonlinear Partial Differential Equations. PRICAI (2) 2019: 309-321 - 2018
- [c47]Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori:
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections. ACL (2) 2018: 516-520 - [c46]Naoya Takeishi, Takehisa Yairi, Yoshinobu Kawahara:
Factorially Switching Dynamic Mode Decomposition for Koopman Analysis of Time-Variant Systems. CDC 2018: 6402-6408 - [i3]Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori:
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections. CoRR abs/1805.02203 (2018) - 2017
- [j10]Takashi Kubota, Kazuya Yoshida, Shinichi Kimura, Takehisa Yairi:
Editorial: AI, Robotics, and Automation in Space. J. Robotics Mechatronics 29(5): 791 (2017) - [j9]Naoya Takeishi, Takehisa Yairi:
Visual Monocular Localization, Mapping, and Motion Estimation of a Rotating Small Celestial Body. J. Robotics Mechatronics 29(5): 856-863 (2017) - [j8]Takehisa Yairi, Naoya Takeishi, Tetsuo Oda, Yuta Nakajima, Naoki Nishimura, Noboru Takata:
A Data-Driven Health Monitoring Method for Satellite Housekeeping Data Based on Probabilistic Clustering and Dimensionality Reduction. IEEE Trans. Aerosp. Electron. Syst. 53(3): 1384-1401 (2017) - [c45]Shinya Fujita, Takehisa Yairi, Koichi Hori, Shuhei Komatsu:
An active beacon-based target localization method for Unmanned Aerial Vehicles with particle filter. FUSION 2017: 1-6 - [c44]Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi:
Sparse nonnegative dynamic mode decomposition. ICIP 2017: 2682-2686 - [c43]Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi:
Bayesian Dynamic Mode Decomposition. IJCAI 2017: 2814-2821 - [c42]Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi:
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition. NIPS 2017: 1130-1140 - [i2]Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi:
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition. CoRR abs/1710.04340 (2017) - [i1]Chun Fui Liew, Danielle DeLatte, Naoya Takeishi, Takehisa Yairi:
Recent Developments in Aerial Robotics: A Survey and Prototypes Overview. CoRR abs/1711.10085 (2017) - 2016
- [j7]Chun Fui Liew, Takehisa Yairi:
Robust Face Alignment with Random Forest: Analysis of Initialization, Landmarks Regression, and Shape Regularization Methods. IEICE Trans. Inf. Syst. 99-D(2): 496-504 (2016) - [c41]Naoya Takeishi, Takehisa Yairi, Naoki Nishimura, Yuta Nakajima, Noboru Takata:
Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data. PAKDD (2) 2016: 221-232 - 2015
- [j6]Chun Fui Liew, Takehisa Yairi:
Facial Expression Recognition and Analysis: A Comparison Study of Feature Descriptors. IPSJ Trans. Comput. Vis. Appl. 7: 104-120 (2015) - [c40]Chun Fui Liew, Takehisa Yairi:
Designing a compact hexacopter with gimballed lidar and powerful onboard Linux computer. ICIA 2015: 2523-2528 - [c39]Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu:
Simultaneous estimation of shape and motion of an asteroid for automatic navigation. ICRA 2015: 2861-2866 - [c38]Mayu Sakurada, Takehisa Yairi, Yuta Nakajima, Naoki Nishimura, Devi Parikh:
Semantic classification of spacecraft's status: integrating system intelligence and human knowledge. ICSC 2015: 81-84 - 2014
- [c37]Takaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi:
Structured Denoising Autoencoder for Fault Detection and Analysis. ACML 2014 - [c36]Chun Fui Liew, Naoto Yokoya, Takehisa Yairi:
Facial alignment by using sparse initialization and random forest. ICIP 2014: 288-292 - [c35]Chun Fui Liew, Takehisa Yairi:
Generalized BRIEF: A Novel Fast Feature Extraction Method for Robust Hand Detection. ICPR 2014: 3014-3019 - [c34]Mayu Sakurada, Takehisa Yairi:
Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction. MLSDA@PRICAI 2014: 4 - [c33]Naoya Takeishi, Takehisa Yairi:
Anomaly detection from multivariate time-series with sparse representation. SMC 2014: 2651-2656 - 2013
- [c32]Chun Fui Liew, Takehisa Yairi:
Quadrotor or blimp?: noise and appearance considerations in designing social aerial robot. HRI 2013: 183-184 - [c31]Chun Fui Liew, Takehisa Yairi:
A comparison study of feature spaces and classification methods for facial expression recognition. ROBIO 2013: 1294-1299 - [c30]Akira Tanimoto, Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu:
Fast estimation of asteroid shape and motion for spacecraft navigation. ROBIO 2013: 1550-1555 - 2012
- [j5]Naoto Yokoya, Takehisa Yairi, Akira Iwasaki:
Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion. IEEE Trans. Geosci. Remote. Sens. 50(2): 528-537 (2012) - [c29]Takehisa Yairi:
Co-embedding of Structurally Missing Data by Locally Linear Alignment. PAKDD (2) 2012: 419-430 - 2011
- [c28]Naoto Yokoya, Takehisa Yairi, Akira Iwasaki:
Coupled non-negative matrix factorization (CNMF) for hyperspectral and multispectral data fusion: Application to pasture classification. IGARSS 2011: 1779-1782 - [c27]Sho Nakamura, Takehisa Yairi:
Mapping and localization by co-embedding of observation matrix. ROBIO 2011: 1078-1083 - [c26]Naoto Yokoya, Takehisa Yairi, Akira Iwasaki:
Hyperspectral, multispectral, and panchromatic data fusion based on coupled non-negative matrix factorization. WHISPERS 2011: 1-4 - 2010
- [j4]Atsushi Ueta, Takehisa Yairi, Hirofumi Kanazaki, Kazuo Machida:
Map building without localization by estimation of inter-feature distances. Intell. Data Anal. 14(4): 515-529 (2010) - [c25]Masao Joko, Yoshinobu Kawahara, Takehisa Yairi:
Learning Non-linear Dynamical Systems by Alignment of Local Linear Models. ICPR 2010: 1084-1087
2000 – 2009
- 2009
- [c24]Satoshi Hirashita, Takehisa Yairi:
Information-based exploration strategy for mobile robot in dynamic environment. CIRA 2009: 90-95 - 2008
- [c23]Keigo Yoshida, Minoru Inui, Takehisa Yairi, Kazuo Machida, Masaki Shioya, Yoshio Masukawa:
Identification of Causal Variables for Building Energy Fault Detection by Semi-supervised LDA and Decision Boundary Analysis. ICDM Workshops 2008: 164-173 - [c22]Takehisa Yairi, Hirofumi Kanazaki:
Bearing-only mapping by sequential triangulation and multi-dimensional scaling. ICRA 2008: 1449-1454 - [c21]Atsushi Ueta, Takehisa Yairi, Hirofumi Kanazaki, Kazuo Machida:
Map Building by Sequential Estimation of Inter-feature Distances. PRICAI 2008: 442-453 - [c20]Hideyuki Tanaka, Takehisa Yairi, Kazuo Machida:
Shape modeling using visual ID-tags for robotic applications. SMC 2008: 347-352 - 2007
- [c19]Hirofumi Kanazaki, Takehisa Yairi, Kazuo Machida, Kenji Kondo, Yoshihiko Matsukawa:
Variational Approximation Data Association Filter. EUSIPCO 2007: 1872-1876 - [c18]Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida:
Change-Point Detection in Time-Series Data Based on Subspace Identification. ICDM 2007: 559-564 - [c17]Takehisa Yairi:
Map building without localization by dimensionality reduction techniques. ICML 2007: 1071-1078 - 2006
- [j3]Hideyuki Tanaka, Noritaka Yamamoto, Takehisa Yairi, Kazuo Machida:
Reconfigurable Cellular Satellites Maintained by Space Robots. J. Robotics Mechatronics 18(3): 356-364 (2006) - [c16]Hideyuki Tanaka, Takehisa Yairi, Kazuo Machida:
Utilization of Semantic Information for Robust Task Execution by Autonomous Robots. IROS 2006: 3166-3171 - [c15]Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida:
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems. NIPS 2006: 665-672 - 2005
- [j2]Takehisa Yairi, Koichi Hori, Kosuke Hirama:
Qualitative map learning based on covisibility of objects. IEEE Trans. Syst. Man Cybern. Part B 35(4): 779-800 (2005) - [c14]Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida:
An approach to spacecraft anomaly detection problem using kernel feature space. KDD 2005: 401-410 - [c13]Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida:
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning. PAKDD 2005: 785-790 - 2004
- [c12]Takehisa Yairi, Shiro Ogasawara, Koichi Hori, Shinichi Nakasuka, Naoki Ishihama:
Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns. PAKDD 2004: 240-244 - [c11]Takehisa Yairi:
Covisibility-Based Map Learning Method for Mobile Robots. PRICAI 2004: 703-712 - [c10]Minoru Nakatsugawa, Takehisa Yairi, Naoki Ishihama, Koichi Hori, Shinichi Nakasuka, Kazuo Machida:
Adaptive limit checking for spacecraft telemetry data using regression tree learning. SMC (6) 2004: 5130-5135 - 2003
- [c9]Takehisa Yairi, Masahito Togami, Koichi Hori:
Learning Topological Structures of POMDP-based State Transition Models by State Splitting Method. Applied Informatics 2003: 7-12 - [c8]Ikuko Eguchi Yairi, Takehisa Yairi, Seiji Igi:
Intention Recognition for Vehicle Driving by Sensing of User and Environment. Applied Informatics 2003: 166-171 - [c7]Takehisa Yairi, Koichi Hori:
Qualitative map building method for mobile robots based on co-visibility of landmark objects. CIRA 2003: 837-842 - [c6]Takehisa Yairi, Koichi Hori:
Qualitative Map Learning Based on Co-visibility of Objects. IJCAI 2003: 183-190 - 2002
- [c5]Takehisa Yairi, Masahito Togami, Koichi Hori:
Learning Topological Maps from Sequential Observation and Action Data under Partially Observable Environment. PRICAI 2002: 305-314 - 2001
- [c4]Takehisa Yairi, Kosuke Hirama, Koichi Hori:
Fast and simple topological map construction based on cooccurrence frequency of landmark observation. IROS 2001: 1263-1268 - [c3]Yoshikiyo Kato, Takehisa Yairi, Koichi Hori:
Integrating Data Mining Techniques and Design Information Management for Failure Prevention. JSAI Workshops 2001: 475-480 - 2000
- [c2]Takehisa Yairi, Koichi Hori, Shinichi Nakasuka:
Autonomous reconstruction of state space for learning of robot behavior. IROS 2000: 891-896 - [c1]Takehisa Yairi, Koichi Hori, Shinichi Nakasuka:
Unified Criterion of State Generalization for Reactive Autonomous Agents. PRICAI 2000: 340-350
1990 – 1999
- 1996
- [j1]Shinichi Nakasuka, Takehisa Yairi, Hiroyuki Wajima:
Autonomous generation of reflexion-based robot controller using inductive learning. Robotics Auton. Syst. 17(4): 287-305 (1996)
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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