Takehisa Yairi

According to our database, Takehisa Yairi authored at least 80 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Consistent Pretext and Auxiliary Tasks With Relative Remaining Useful Life Estimation.

Masanao Natsumeda, Takehisa Yairi

IEEE Trans. Ind. Informatics, April, 2024

Graph-based meta-learning for context-aware sensor management in nonlinear safety-critical environments.

Christopher Aaron O'Hara, Takehisa Yairi

Adv. Robotics, March, 2024

Feature Selection With Partial Autoencoding for Zero-Sample Fault Diagnosis.

Masanao Natsumeda, Takehisa Yairi

IEEE Trans. Ind. Informatics, February, 2024

A review of physics-based learning for system health management.

Samir Khan, Takehisa Yairi, Seiji Tsutsumi, Shinichi Nakasuka

Annu. Rev. Control., 2024

A Unifying View of Multivariate State Space Models for Soft Sensors in Industrial Processes.

Wenyi Liu, Takehisa Yairi

IEEE Access, 2024

2023

Navigating the Metaverse: UAV-Based Cross-View Geo-Localization in Virtual Worlds.

Ryota Yagi, Takehisa Yairi, Akira Iwasaki

Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2023

A semi-supervised RUL prediction with likelihood-based pseudo labeling for suspension histories.

Ryosuke Takayama, Masanao Natsumeda, Takehisa Yairi

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

2022

SeCAM: Tightly Accelerate the Image Explanation via Region-Based Segmentation.

Phong X. Nguyen, Hung Q. Cao, Khang V. T. Nguyen, Hung Nguyen, Takehisa Yairi

IEICE Trans. Inf. Syst., August, 2022

Mars Crater Segmentation Dataset.

Danielle DeLatte, Sarah T. Crites, Nicholas Guttenberg, Elizabeth J. Tasker, Takehisa Yairi

Dataset, May, 2022

Residual reinforcement learning for logistics cart transportation.

Ryosuke Matsuo, Shinya Yasuda, Taichi Kumagai, Natsuhiko Sato, Hiroshi Yoshida, Takehisa Yairi

Adv. Robotics, 2022

Human Language Explanation for a Decision Making Agent via Automated Rationale Generation.

Phong X. Nguyen, Tho H. Tran, Nguyen B. Pham, Dung N. Do, Takehisa Yairi

IEEE Access, 2022

Impact Analysis of Evaluation Task Setting on a Public Dataset for Rolling Bearing Diagnostics Using Deep Learning.

Osamu Yoshimatsu, Takehisa Yairi

Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

Nonstationary and Sparse Linear Regression for State Prediction of Artificial Systems.

Ryosuke Takayama, Takehisa Yairi, Nana Tamai

Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

Feature selection for quality prediction under distribution shift.

Wenyi Liu, Takehisa Yairi, Nana Tamai

Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

3D Human Pose Estimation in Weightless Environments Using a Fisheye Camera.

Koji Minoda, Takehisa Yairi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Low-Latency LiDAR Semantic Segmentation.

Takahiro Hori, Takehisa Yairi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments.

Koji Minoda, Fabian Schilling, Valentin Wüest, Dario Floreano, Takehisa Yairi

IEEE Robotics Autom. Lett., 2021

Robustness of AI-based prognostic and systems health management.

Samir Khan, Seiji Tsutsumi, Takehisa Yairi, Shinichi Nakasuka

Annu. Rev. Control., 2021

2020

Companion Unmanned Aerial Vehicles: A Survey.

Chun Fui Liew, Takehisa Yairi

CoRR, 2020

2019

Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars.

Danielle DeLatte, Sarah T. Crites, Nicholas Guttenberg, Elizabeth J. Tasker, Takehisa Yairi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Unsupervised anomaly detection in unmanned aerial vehicles.

Samir Khan, Chun Fui Liew, Takehisa Yairi, Richard McWilliam

Appl. Soft Comput., 2019

Neural Gray-Box Identification of Nonlinear Partial Differential Equations.

Riku Sasaki, Naoya Takeishi, Takehisa Yairi, Koichi Hori

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018

Factorially Switching Dynamic Mode Decomposition for Koopman Analysis of Time-Variant Systems.

Naoya Takeishi, Takehisa Yairi, Yoshinobu Kawahara

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Dynamic and Static Topic Model for Analyzing Time-Series Document Collections.

Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

A Data-Driven Health Monitoring Method for Satellite Housekeeping Data Based on Probabilistic Clustering and Dimensionality Reduction.

Takehisa Yairi, Naoya Takeishi, Tetsuo Oda, Yuta Nakajima, Naoki Nishimura, Noboru Takata

IEEE Trans. Aerosp. Electron. Syst., 2017

Visual Monocular Localization, Mapping, and Motion Estimation of a Rotating Small Celestial Body.

Naoya Takeishi, Takehisa Yairi

J. Robotics Mechatronics, 2017

Editorial: AI, Robotics, and Automation in Space.

Takashi Kubota, Kazuya Yoshida, Shinichi Kimura, Takehisa Yairi

J. Robotics Mechatronics, 2017

Recent Developments in Aerial Robotics: A Survey and Prototypes Overview.

Chun Fui Liew, Danielle DeLatte, Naoya Takeishi, Takehisa Yairi

CoRR, 2017

Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition.

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Bayesian Dynamic Mode Decomposition.

Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Sparse nonnegative dynamic mode decomposition.

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

An active beacon-based target localization method for Unmanned Aerial Vehicles with particle filter.

Shinya Fujita, Takehisa Yairi, Koichi Hori, Shuhei Komatsu

Proceedings of the 20th International Conference on Information Fusion, 2017

2016

Robust Face Alignment with Random Forest: Analysis of Initialization, Landmarks Regression, and Shape Regularization Methods.

Chun Fui Liew, Takehisa Yairi

IEICE Trans. Inf. Syst., 2016

Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data.

Naoya Takeishi, Takehisa Yairi, Naoki Nishimura, Yuta Nakajima, Noboru Takata

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015

Facial Expression Recognition and Analysis: A Comparison Study of Feature Descriptors.

Chun Fui Liew, Takehisa Yairi

IPSJ Trans. Comput. Vis. Appl., 2015

Semantic classification of spacecraft's status: integrating system intelligence and human knowledge.

Mayu Sakurada, Takehisa Yairi, Yuta Nakajima, Naoki Nishimura, Devi Parikh

Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

Simultaneous estimation of shape and motion of an asteroid for automatic navigation.

Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Designing a compact hexacopter with gimballed lidar and powerful onboard Linux computer.

Chun Fui Liew, Takehisa Yairi

Proceedings of the IEEE International Conference on Information and Automation, 2015

2014

Anomaly detection from multivariate time-series with sparse representation.

Naoya Takeishi, Takehisa Yairi

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction.

Mayu Sakurada, Takehisa Yairi

Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, 2014

Generalized BRIEF: A Novel Fast Feature Extraction Method for Robust Hand Detection.

Chun Fui Liew, Takehisa Yairi

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Facial alignment by using sparse initialization and random forest.

Chun Fui Liew, Naoto Yokoya, Takehisa Yairi

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Structured Denoising Autoencoder for Fault Detection and Analysis.

Takaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013

Fast estimation of asteroid shape and motion for spacecraft navigation.

Akira Tanimoto, Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

A comparison study of feature spaces and classification methods for facial expression recognition.

Chun Fui Liew, Takehisa Yairi

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

Quadrotor or blimp?: noise and appearance considerations in designing social aerial robot.

Chun Fui Liew, Takehisa Yairi

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013

2012

Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion.

Naoto Yokoya, Takehisa Yairi, Akira Iwasaki

IEEE Trans. Geosci. Remote. Sens., 2012

Co-embedding of Structurally Missing Data by Locally Linear Alignment.

Takehisa Yairi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011

Hyperspectral, multispectral, and panchromatic data fusion based on coupled non-negative matrix factorization.

Naoto Yokoya, Takehisa Yairi, Akira Iwasaki

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Mapping and localization by co-embedding of observation matrix.

Sho Nakamura, Takehisa Yairi

Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, 2011

Coupled non-negative matrix factorization (CNMF) for hyperspectral and multispectral data fusion: Application to pasture classification.

Naoto Yokoya, Takehisa Yairi, Akira Iwasaki

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

Map building without localization by estimation of inter-feature distances.

Atsushi Ueta, Takehisa Yairi, Hirofumi Kanazaki, Kazuo Machida

Intell. Data Anal., 2010

Learning Non-linear Dynamical Systems by Alignment of Local Linear Models.

Masao Joko, Yoshinobu Kawahara, Takehisa Yairi

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Information-based exploration strategy for mobile robot in dynamic environment.

Satoshi Hirashita, Takehisa Yairi

Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009

2008

Shape modeling using visual ID-tags for robotic applications.

Hideyuki Tanaka, Takehisa Yairi, Kazuo Machida

Proceedings of the IEEE International Conference on Systems, 2008

Map Building by Sequential Estimation of Inter-feature Distances.

Atsushi Ueta, Takehisa Yairi, Hirofumi Kanazaki, Kazuo Machida

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Bearing-only mapping by sequential triangulation and multi-dimensional scaling.

Takehisa Yairi, Hirofumi Kanazaki

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Identification of Causal Variables for Building Energy Fault Detection by Semi-supervised LDA and Decision Boundary Analysis.

Keigo Yoshida, Minoru Inui, Takehisa Yairi, Kazuo Machida, Masaki Shioya, Yoshio Masukawa

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Map building without localization by dimensionality reduction techniques.

Takehisa Yairi

Proceedings of the Machine Learning, 2007

Change-Point Detection in Time-Series Data Based on Subspace Identification.

Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Variational Approximation Data Association Filter.

Hirofumi Kanazaki, Takehisa Yairi, Kazuo Machida, Kenji Kondo, Yoshihiko Matsukawa

Proceedings of the 15th European Signal Processing Conference, 2007

2006

Reconfigurable Cellular Satellites Maintained by Space Robots.

Hideyuki Tanaka, Noritaka Yamamoto, Takehisa Yairi, Kazuo Machida

J. Robotics Mechatronics, 2006

A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems.

Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Utilization of Semantic Information for Robust Task Execution by Autonomous Robots.

Hideyuki Tanaka, Takehisa Yairi, Kazuo Machida

Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

2005

Qualitative map learning based on covisibility of objects.

Takehisa Yairi, Koichi Hori, Kosuke Hirama

IEEE Trans. Syst. Man Cybern. Part B, 2005

An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning.

Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

An approach to spacecraft anomaly detection problem using kernel feature space.

Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

2004

Adaptive limit checking for spacecraft telemetry data using regression tree learning.

Minoru Nakatsugawa, Takehisa Yairi, Naoki Ishihama, Koichi Hori, Shinichi Nakasuka, Kazuo Machida

Proceedings of the IEEE International Conference on Systems, 2004

Covisibility-Based Map Learning Method for Mobile Robots.

Takehisa Yairi

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns.

Takehisa Yairi, Shiro Ogasawara, Koichi Hori, Shinichi Nakasuka, Naoki Ishihama

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

2003

Qualitative Map Learning Based on Co-visibility of Objects.

Takehisa Yairi, Koichi Hori

Proceedings of the IJCAI-03, 2003

Qualitative map building method for mobile robots based on co-visibility of landmark objects.

Takehisa Yairi, Koichi Hori

Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003

Intention Recognition for Vehicle Driving by Sensing of User and Environment.

Ikuko Eguchi Yairi, Takehisa Yairi, Seiji Igi

Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

Learning Topological Structures of POMDP-based State Transition Models by State Splitting Method.

Takehisa Yairi, Masahito Togami, Koichi Hori

Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

2002

Learning Topological Maps from Sequential Observation and Action Data under Partially Observable Environment.

Takehisa Yairi, Masahito Togami, Koichi Hori

Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

2001

Integrating Data Mining Techniques and Design Information Management for Failure Prevention.

Yoshikiyo Kato, Takehisa Yairi, Koichi Hori

Proceedings of the New Frontiers in Artificial Intelligence, 2001

Fast and simple topological map construction based on cooccurrence frequency of landmark observation.

Takehisa Yairi, Kosuke Hirama, Koichi Hori

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

2000

Unified Criterion of State Generalization for Reactive Autonomous Agents.

Takehisa Yairi, Koichi Hori, Shinichi Nakasuka

Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

Autonomous reconstruction of state space for learning of robot behavior.

Takehisa Yairi, Koichi Hori, Shinichi Nakasuka

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2000

1996

Autonomous generation of reflexion-based robot controller using inductive learning.

Shinichi Nakasuka, Takehisa Yairi, Hiroyuki Wajima

Robotics Auton. Syst., 1996