Takehisa Yairi

89 papers A* 8A 5B 13C 3Journal 31Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accurate Open-Loop Control of a Soft Continuum Robot Through Visually Learned Latent Representations. CoRR Henrik Krauss, Johann Licher, Naoya Takeishi, Annika Raatz, Takehisa Yairi
2025	J	`jnl`	A Temporal Difference Method for Stochastic Continuous Dynamics. CoRR Haruki Settai, Naoya Takeishi, Takehisa Yairi
2025	B	`conf`	Deterministic and Stochastic Hybrid Modeling with Regularization. SMC Akira Osaka, Naoya Takeishi, Takehisa Yairi
2025	J	`jnl`	Learning Visually Interpretable Oscillator Networks for Soft Continuum Robots from Video. CoRR Henrik Krauss, Johann Licher, Naoya Takeishi, Annika Raatz, Takehisa Yairi
2025	—	`conf`	Probabilistic Safety for Hard-to-Formalize Constraints via Conformal Neural CBFs. CDC Koki Hirano, Naoya Takeishi, Takehisa Yairi
2025	J	`jnl`	Revealing Covert Attention by Analyzing Human and Reinforcement Learning Agent Gameplay. CoRR Henrik Krauss, Takehisa Yairi
2025	—	`conf`	Semi-supervised domain adaptation with auxiliary task learning for RUL prediction. ICPHM Gengyu Li, Takehisa Yairi
2024	J	`jnl`	A Unifying View of Multivariate State Space Models for Soft Sensors in Industrial Processes. IEEE Access Wenyi Liu, Takehisa Yairi
2024	J	`jnl`	A review of physics-based learning for system health management. Annu. Rev. Control. Samir Khan, Takehisa Yairi, Seiji Tsutsumi, Shinichi Nakasuka
2024	J	`jnl`	Consistent Pretext and Auxiliary Tasks With Relative Remaining Useful Life Estimation. IEEE Trans. Ind. Informatics Masanao Natsumeda, Takehisa Yairi
2024	J	`jnl`	Feature Selection With Partial Autoencoding for Zero-Sample Fault Diagnosis. IEEE Trans. Ind. Informatics Masanao Natsumeda, Takehisa Yairi
2024	J	`jnl`	Graph-based meta-learning for context-aware sensor management in nonlinear safety-critical environments. Adv. Robotics Christopher Aaron O'Hara, Takehisa Yairi
2023	—	`conf`	A semi-supervised RUL prediction with likelihood-based pseudo labeling for suspension histories. ICPHM Ryosuke Takayama, Masanao Natsumeda, Takehisa Yairi
2023	—	`conf`	Navigating the Metaverse: UAV-Based Cross-View Geo-Localization in Virtual Worlds. UAVM Ryota Yagi, Takehisa Yairi, Akira Iwasaki
2022	A	`conf`	3D Human Pose Estimation in Weightless Environments Using a Fisheye Camera. IROS Koji Minoda, Takehisa Yairi
2022	—	`conf`	Feature selection for quality prediction under distribution shift. SICE Wenyi Liu, Takehisa Yairi, Nana Tamai
2022	J	`jnl`	Human Language Explanation for a Decision Making Agent via Automated Rationale Generation. IEEE Access Phong X. Nguyen, Tho H. Tran, Nguyen B. Pham, Dung N. Do, Takehisa Yairi
2022	—	`conf`	Impact Analysis of Evaluation Task Setting on a Public Dataset for Rolling Bearing Diagnostics Using Deep Learning. SICE Osamu Yoshimatsu, Takehisa Yairi
2022	A	`conf`	Low-Latency LiDAR Semantic Segmentation. IROS Takahiro Hori, Takehisa Yairi
2022	—	`conf`	Nonstationary and Sparse Linear Regression for State Prediction of Artificial Systems. SICE Ryosuke Takayama, Takehisa Yairi, Nana Tamai
2022	J	`jnl`	Residual reinforcement learning for logistics cart transportation. Adv. Robotics Ryosuke Matsuo, Shinya Yasuda, Taichi Kumagai, Natsuhiko Sato, Hiroshi Yoshida, Takehisa Yairi
2022	J	`jnl`	SeCAM: Tightly Accelerate the Image Explanation via Region-Based Segmentation. IEICE Trans. Inf. Syst. Phong X. Nguyen, Hung Q. Cao, Khang V. T. Nguyen, Hung Nguyen, Takehisa Yairi
2021	J	`jnl`	Robustness of AI-based prognostic and systems health management. Annu. Rev. Control. Samir Khan, Seiji Tsutsumi, Takehisa Yairi, Shinichi Nakasuka
2021	J	`jnl`	VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments. CoRR Koji Minoda, Fabian Schilling, Valentin Wüest, Dario Floreano, Takehisa Yairi
2021	J	`jnl`	VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments. IEEE Robotics Autom. Lett. Koji Minoda, Fabian Schilling, Valentin Wüest, Dario Floreano, Takehisa Yairi
2020	J	`jnl`	Companion Unmanned Aerial Vehicles: A Survey. CoRR Chun Fui Liew, Takehisa Yairi
2019	—	`conf`	Neural Gray-Box Identification of Nonlinear Partial Differential Equations. PRICAI (2) Riku Sasaki, Naoya Takeishi, Takehisa Yairi, Koichi Hori
2019	J	`jnl`	Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Danielle DeLatte, Sarah T. Crites, Nicholas Guttenberg, Elizabeth J. Tasker, Takehisa Yairi
2019	J	`jnl`	Unsupervised anomaly detection in unmanned aerial vehicles. Appl. Soft Comput. Samir Khan, Chun Fui Liew, Takehisa Yairi, Richard McWilliam
2018	—	`conf`	Dynamic and Static Topic Model for Analyzing Time-Series Document Collections. ACL (2) Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori
2018	J	`jnl`	Dynamic and Static Topic Model for Analyzing Time-Series Document Collections. CoRR Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori
2018	—	`conf`	Factorially Switching Dynamic Mode Decomposition for Koopman Analysis of Time-Variant Systems. CDC Naoya Takeishi, Takehisa Yairi, Yoshinobu Kawahara
2017	J	`jnl`	A Data-Driven Health Monitoring Method for Satellite Housekeeping Data Based on Probabilistic Clustering and Dimensionality Reduction. IEEE Trans. Aerosp. Electron. Syst. Takehisa Yairi, Naoya Takeishi, Tetsuo Oda, Yuta Nakajima, Naoki Nishimura, Noboru Takata
2017	C	`conf`	An active beacon-based target localization method for Unmanned Aerial Vehicles with particle filter. FUSION Shinya Fujita, Takehisa Yairi, Koichi Hori, Shuhei Komatsu
2017	A*	`conf`	Bayesian Dynamic Mode Decomposition. IJCAI Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi
2017	J	`jnl`	Editorial: AI, Robotics, and Automation in Space. J. Robotics Mechatronics Takashi Kubota, Kazuya Yoshida, Shinichi Kimura, Takehisa Yairi
2017	—	`conf`	Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition. NIPS Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
2017	J	`jnl`	Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition. CoRR Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
2017	J	`jnl`	Recent Developments in Aerial Robotics: A Survey and Prototypes Overview. CoRR Chun Fui Liew, Danielle DeLatte, Naoya Takeishi, Takehisa Yairi
2017	B	`conf`	Sparse nonnegative dynamic mode decomposition. ICIP Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
2017	J	`jnl`	Visual Monocular Localization, Mapping, and Motion Estimation of a Rotating Small Celestial Body. J. Robotics Mechatronics Naoya Takeishi, Takehisa Yairi
2016	—	`conf`	Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data. PAKDD (2) Naoya Takeishi, Takehisa Yairi, Naoki Nishimura, Yuta Nakajima, Noboru Takata
2016	J	`jnl`	Robust Face Alignment with Random Forest: Analysis of Initialization, Landmarks Regression, and Shape Regularization Methods. IEICE Trans. Inf. Syst. Chun Fui Liew, Takehisa Yairi
2015	—	`conf`	Designing a compact hexacopter with gimballed lidar and powerful onboard Linux computer. ICIA Chun Fui Liew, Takehisa Yairi
2015	J	`jnl`	Facial Expression Recognition and Analysis: A Comparison Study of Feature Descriptors. IPSJ Trans. Comput. Vis. Appl. Chun Fui Liew, Takehisa Yairi
2015	—	`conf`	Semantic classification of spacecraft's status: integrating system intelligence and human knowledge. ICSC Mayu Sakurada, Takehisa Yairi, Yuta Nakajima, Naoki Nishimura, Devi Parikh
2015	A*	`conf`	Simultaneous estimation of shape and motion of an asteroid for automatic navigation. ICRA Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu
2014	—	`conf`	Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction. MLSDA@PRICAI Mayu Sakurada, Takehisa Yairi
2014	B	`conf`	Anomaly detection from multivariate time-series with sparse representation. SMC Naoya Takeishi, Takehisa Yairi
2014	B	`conf`	Facial alignment by using sparse initialization and random forest. ICIP Chun Fui Liew, Naoto Yokoya, Takehisa Yairi
2014	B	`conf`	Generalized BRIEF: A Novel Fast Feature Extraction Method for Robust Hand Detection. ICPR Chun Fui Liew, Takehisa Yairi
2014	C	`conf`	Structured Denoising Autoencoder for Fault Detection and Analysis. ACML Takaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi
2013	—	`conf`	A comparison study of feature spaces and classification methods for facial expression recognition. ROBIO Chun Fui Liew, Takehisa Yairi
2013	—	`conf`	Fast estimation of asteroid shape and motion for spacecraft navigation. ROBIO Akira Tanimoto, Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu
2013	A*	`conf`	Quadrotor or blimp?: noise and appearance considerations in designing social aerial robot. HRI Chun Fui Liew, Takehisa Yairi
2012	—	`conf`	Co-embedding of Structurally Missing Data by Locally Linear Alignment. PAKDD (2) Takehisa Yairi
2012	J	`jnl`	Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion. IEEE Trans. Geosci. Remote. Sens. Naoto Yokoya, Takehisa Yairi, Akira Iwasaki
2011	C	`conf`	Coupled non-negative matrix factorization (CNMF) for hyperspectral and multispectral data fusion: Application to pasture classification. IGARSS Naoto Yokoya, Takehisa Yairi, Akira Iwasaki
2011	—	`conf`	Hyperspectral, multispectral, and panchromatic data fusion based on coupled non-negative matrix factorization. WHISPERS Naoto Yokoya, Takehisa Yairi, Akira Iwasaki
2011	—	`conf`	Mapping and localization by co-embedding of observation matrix. ROBIO Sho Nakamura, Takehisa Yairi
2010	B	`conf`	Learning Non-linear Dynamical Systems by Alignment of Local Linear Models. ICPR Masao Joko, Yoshinobu Kawahara, Takehisa Yairi
2010	J	`jnl`	Map building without localization by estimation of inter-feature distances. Intell. Data Anal. Atsushi Ueta, Takehisa Yairi, Hirofumi Kanazaki, Kazuo Machida
2009	—	`conf`	Information-based exploration strategy for mobile robot in dynamic environment. CIRA Satoshi Hirashita, Takehisa Yairi
2008	A*	`conf`	Bearing-only mapping by sequential triangulation and multi-dimensional scaling. ICRA Takehisa Yairi, Hirofumi Kanazaki
2008	—	`conf`	Identification of Causal Variables for Building Energy Fault Detection by Semi-supervised LDA and Decision Boundary Analysis. ICDM Workshops Keigo Yoshida, Minoru Inui, Takehisa Yairi, Kazuo Machida, Masaki Shioya, Yoshio Masukawa
2008	B	`conf`	Map Building by Sequential Estimation of Inter-feature Distances. PRICAI Atsushi Ueta, Takehisa Yairi, Hirofumi Kanazaki, Kazuo Machida
2008	B	`conf`	Shape modeling using visual ID-tags for robotic applications. SMC Hideyuki Tanaka, Takehisa Yairi, Kazuo Machida
2007	A*	`conf`	Change-Point Detection in Time-Series Data Based on Subspace Identification. ICDM Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida
2007	A*	`conf`	Map building without localization by dimensionality reduction techniques. ICML Takehisa Yairi
2007	—	`conf`	Variational Approximation Data Association Filter. EUSIPCO Hirofumi Kanazaki, Takehisa Yairi, Kazuo Machida, Kenji Kondo, Yoshihiko Matsukawa
2006	—	`conf`	A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems. NIPS Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida
2006	J	`jnl`	Reconfigurable Cellular Satellites Maintained by Space Robots. J. Robotics Mechatronics Hideyuki Tanaka, Noritaka Yamamoto, Takehisa Yairi, Kazuo Machida
2006	A	`conf`	Utilization of Semantic Information for Robust Task Execution by Autonomous Robots. IROS Hideyuki Tanaka, Takehisa Yairi, Kazuo Machida
2005	B	`conf`	An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning. PAKDD Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
2005	A*	`conf`	An approach to spacecraft anomaly detection problem using kernel feature space. KDD Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
2005	J	`jnl`	Qualitative map learning based on covisibility of objects. IEEE Trans. Syst. Man Cybern. Part B Takehisa Yairi, Koichi Hori, Kosuke Hirama
2004	—	`conf`	Adaptive limit checking for spacecraft telemetry data using regression tree learning. SMC (6) Minoru Nakatsugawa, Takehisa Yairi, Naoki Ishihama, Koichi Hori, Shinichi Nakasuka, Kazuo Machida
2004	B	`conf`	Covisibility-Based Map Learning Method for Mobile Robots. PRICAI Takehisa Yairi
2004	B	`conf`	Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns. PAKDD Takehisa Yairi, Shiro Ogasawara, Koichi Hori, Shinichi Nakasuka, Naoki Ishihama
2003	—	`conf`	Intention Recognition for Vehicle Driving by Sensing of User and Environment. Applied Informatics Ikuko Eguchi Yairi, Takehisa Yairi, Seiji Igi
2003	—	`conf`	Learning Topological Structures of POMDP-based State Transition Models by State Splitting Method. Applied Informatics Takehisa Yairi, Masahito Togami, Koichi Hori
2003	A*	`conf`	Qualitative Map Learning Based on Co-visibility of Objects. IJCAI Takehisa Yairi, Koichi Hori
2003	—	`conf`	Qualitative map building method for mobile robots based on co-visibility of landmark objects. CIRA Takehisa Yairi, Koichi Hori
2002	B	`conf`	Learning Topological Maps from Sequential Observation and Action Data under Partially Observable Environment. PRICAI Takehisa Yairi, Masahito Togami, Koichi Hori
2001	A	`conf`	Fast and simple topological map construction based on cooccurrence frequency of landmark observation. IROS Takehisa Yairi, Kosuke Hirama, Koichi Hori
2001	—	`conf`	Integrating Data Mining Techniques and Design Information Management for Failure Prevention. JSAI Workshops Yoshikiyo Kato, Takehisa Yairi, Koichi Hori
2000	A	`conf`	Autonomous reconstruction of state space for learning of robot behavior. IROS Takehisa Yairi, Koichi Hori, Shinichi Nakasuka
2000	B	`conf`	Unified Criterion of State Generalization for Reactive Autonomous Agents. PRICAI Takehisa Yairi, Koichi Hori, Shinichi Nakasuka
1996	J	`jnl`	Autonomous generation of reflexion-based robot controller using inductive learning. Robotics Auton. Syst. Shinichi Nakasuka, Takehisa Yairi, Hiroyuki Wajima