Publication

研究室組織変更後(2015年~)の研究成果です.(おおむね)発表/掲載順に表示しています.


2017年

[国内学会発表]
肥田 礼夢, 武石 直也, 矢入 健久, 堀 浩一, “トピックの関係および時系列を考慮したトピックモデルの提案,” NLP若手の会 第12回シンポジウム (YANS), 那覇, 2017年9月.

[Conference proceedings (refereed)]
Naoya Takeishi, Yoshinobu Kawahara and Takehisa Yairi, “Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition,” in Advances in Neural Information Processing Systems (Proc. of NIPS), vol. 30, 2017. to appear.

[Journal article (refereed)]
Naoya Takeishi, Yoshinobu Kawahara and Takehisa Yairi, “Subspace Dynamic Mode Decomposition for Stochastic Koopman Analysis,” Physical Review E, 2017. to be published.

[Journal article (refereed)]
Naoya Takeishi and Takehisa Yairi, “Visual Monocular Localization, Mapping, and Motion Estimation of a Rotating Small Celestial Body,” J. of Robotics and Mechatronics, vol. 29, no. 5, 2017. to be published.

[Conference proceedings (refereed)]
Naoya Takeishi, Yoshinobu Kawahara and Takehisa Yairi, “Sparse Nonnegative Dynamic Mode Decomposition,” in Proc. of the 24th IEEE Int’l Conf. on Image Processing (ICIP), 2017. to appear.

[Conference proceedings (refereed)]
Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei and Takehisa Yairi, “Bayesian Dynamic Mode Decomposition,” in Proc. of the 26th Int’l Joint Conf. on Artificial Intelligence (IJCAI), pp. 2814–2821, 2017.

[Presentation at international conference]
Shinya Fujita, Takehisa Yairi, Koichi Hori and Shuhei Komatsu, “An Active Beacon-Based Target Localization Method for Unmanned Aerial Vehicles with Particle Filter,” The 20th Int’l Conf. on Information Fusion (Fusion), Xi’an, P. R. China, July 2017.

[Presentation at international conference]
Samir Khan, Takehisa Yairi and Mariam Kiran, “Towards a Cloud-based Machine Learning for Health Monitoring and Fault Diagnosis,” Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP), Jeju, Republic of Korea, July 2017.

[Presentation at international conference]
Samir Khan and Takehisa Yairi, “Perspectives on using Deep Learning for System Health Management,” Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP), Jeju, Republic of Korea, July 2017.

[Presentation at international conference]
Taichi Kitamura, Naoya Takeishi, Takehisa Yairi and Koichi Hori, “Abnormal Sound Detection for Rotary Parts in Noisy Environment by One-class SVM and Non-negative Matrix Factorization,” Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP), Jeju, Republic of Korea, July 2017.

[Presentation at international conference]
Riku Sasaki, Naoya Takeishi, Takehisa Yairi, Koichi Hori, Kazunari Ide and Hiroyoshi Kubo, “A Health Monitoring Method for Wind Power Generators with Hidden Markov and Probabilistic Principal Components Analysis Models,” Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP), Jeju, Republic of Korea, July 2017.

[Journal article (refereed)]
Takehisa Yairi, Naoya Takeishi, Tetsuo Oda, Yuta Nakajima, Naoki Nishimura and Noboru Takata, “A Data-driven Health Monitoring Method for Satellite Housekeeping Data based on Probabilistic Clustering and Dimensionality Reduction,” IEEE Trans. on Aerospace and Electronic Systems, vol. 53, no. 3, pp. 1384–1401, 2017.

[Presentation at international conference]
Kentaro Abe, “Robust Tracking of Visual Landmarks for Estimating Asteroid Shape and Motion,” The 31st International Symposium on Space Technology and Science (ISTS), Matsuyama, Japan, June 2017.

[Presentation at international conference]
Ryo Sakagami, “Visualization Methods for Spacecraft Telemetry Data Using Change-point Detection and Dimensionality Reduction,” The 31st International Symposium on Space Technology and Science (ISTS), Matsuyama, Japan, June 2017.
(Ehime-Matsuyama Executive Committee Award Winner)

[国内学会発表]
武石 直也, 河原 吉伸, 矢入 健久, “ベイズ的動的モード分解,” 第31回人工知能学会全国大会 (JSAI), 名古屋, 2017年5月.

[国内学会発表]
秋元 康佑, 武石 直也, 堀 浩一, 矢入 健久, “Markov logic networkを事前分布に持つ潜在変数モデルの検討,” 第31回人工知能学会全国大会 (JSAI), 名古屋, 2017年5月.


2016年

[国内学会発表]
武石 直也, 河原 吉伸, 矢入 健久, “スパース非負値動的モード分解,” 科研費「新学術領域研究」スパースモデリングの深化と高次元データ駆動科学の創成 公開シンポジウム, 東京, 2016年12月.

[国内学会発表]
武石 直也, “混合確率的動的モード分解,” 第19回情報論的学習理論ワークショップ (IBIS), 京都, 2016年11月.

[Conference proceedings (refereed)]
Ryo Konomura and Koichi Hori, “FPGA-based 6-DoF Pose Estimation with a Monocular Camera Using Non Co-planer Marker and Application on Micro Quadcopter,” in Proc. of the 2016 IEEE/RSJ Int’l Conf. on Intelligent Robots and Systems (IROS), pp. 4250–4257, 2016.

[国内学会発表]
秋元 康佑, 武石 直也, 矢入 健久, 堀 浩一, 西村 尚樹, 高田 昇, “アンサンブル木学習によるノンパラメトリックなセンサー値正常範囲推定,” 第30回人工知能学会全国大会 (JSAI), 北九州, 2016年6月.

[国内学会発表]
武石 直也, 矢入 健久, “工学システムの間欠的センサデータのための動的混合モデル,” 第30回人工知能学会全国大会 (JSAI), 北九州, 2016年6月.

[Presentation at international conference]
Kosuke Akimoto, Naoya Takeishi, Takehisa Yairi, Koichi Hori, Naoki Nishimura and Noboru Takata, “Tree-based Nonparametric Prediction of Normal Sensor Measurement Range using Temporal Information,” Int’l Symp. on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), Beijing, P. R. China, June 2016.

[Presentation at international conference]
Naoya Takeishi and Takehisa Yairi, “Dynamic Visual Simultaneous Localization and Mapping for Asteroid Exploration,” Int’l Symp. on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), Beijing, P. R. China, June 2016.

[Conference proceedings (refereed)]
Naoya Takeishi, Takehisa Yairi, Naoki Nishimura, Yuta Nakajima and Noboru Takata, “Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data,” in Advances in Knowledge Discovery and Data Mining (Proc. of PAKDD), vol. 9652, pp. 221–232, 2016.

[Journal article (refereed)]
Chun Fui Liew and Takehisa Yairi, “Robust Face Alignment with Random Forest: Analysis of Initialization, Landmarks Regression, and Shape Regularization Methods,” IEICE Transactions, vol. E99-D, no. 2, pp.496–504, 2016.


2015年

[国内学会発表]
武石 直也, 矢入 健久, “小惑星探査における画像からの天体形状・運動および探査機位置姿勢の推定,” 計測自動制御学会 システム・情報部門 学術講演会 (SSI), 函館, 2015年11月.

[国内学会発表]
武石 直也, 根本 啓史, 矢入 健久, 津田 雄一, 照井 冬人, 尾川 順子, 三桝 裕也, “小惑星画像のための三次元形状復元手法の検討,” 第59回宇宙科学技術連合講演会, 鹿児島, 2015年11月.

[Journal article (refereed)]
Takehide Hirata, Yoshinobu Kawahara, Takehisa Yairi, Kazuya Asano, Ichiro Maeda, Toshihiro Sasaki and Kazuo Machida, “New monitoring technique for detecting buckling in the continuous annealing line using canonical correlation analysis”, SICE J. of Control, Measurement, and System Integration, vol. 8, no. 3, pp. 214–220, 2015.

[Conference proceedings (refereed)]
Chun Fui Liew and Takehisa Yairi, “Designing a Compact Hexacopter with Gimballed Lidar and Powerful Onboard Linux Computer,” in Proc. of IEEE Int’l Conf. on Information and Automation (ICIA), pp. 2523–2528, 2015.

[解説・総説]
矢入 健久, “衛星の状態監視システムのつくりかた -過去のデータに基づく異常検知-,” 情報処理学会誌, vol. 56, no. 8, pp. 777–780, 2015.

[原著論文(査読あり)]
桑原 絢一, 酒匂 信匡, 矢入 健久, “次元削減を用いた超小型衛星の画像劣化発生条件推定,” 日本航空宇宙学会論文集, vol. 63, no. 4, pp. 119–128, 2015.

[国内学会発表]
川井 翼, 堀 浩一, “人工衛星の設計支援のためのデバイスオントロジーの拡張,” 第29回人工知能学会全国大会 (JSAI), 函館, 2015年5月.

[国内学会発表]
三木 崇弘, 堀 浩一, “マーカの能動的貼付により自己位置推定を行う自律飛行ロボット,” 第29回人工知能学会全国大会 (JSAI), 函館, 2015年5月.

[国内学会発表]
杉山 敦, 堀 浩一, “無線通信データを用いた自律ロボットの屋内位置表現獲得,” 第29回人工知能学会全国大会 (JSAI), 函館, 2015年5月.

[国内学会発表]
武石 直也, 矢入 健久, “センサデータとテキスト運用記録を活用した宇宙機運用支援,” 第29回人工知能学会全国大会 (JSAI), 函館, 2015年5月.

[Conference proceedings (refereed)]
Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa and Yuya Mimasu, “Simultaneous Estimation of Shape and Motion of an Asteroid for Automatic Navigation,” in Proc. of 2015 IEEE Int’l Conf. on Robotics and Automation (ICRA), pp. 2861–2866, 2015.

[Journal article (refereed)]
Chun Fui Liew and Takehisa Yairi, “Facial Expression Recognition and Analysis: A Comparison Study of Feature Descriptors,” IPSJ Trans. on Computer Vision and Applications, vol. 7, pp. 104–120, 2015.

[Journal article (refereed)]
Naoya Takeishi, Akira Tanimoto, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa and Yuya Mimasu, “Evaluation of Interest-region Detectors and Descriptors for Automatic Landmark Tracking on Asteroids,” Trans. of the Japan Society for Aeronautical and Space Sciences, vol. 58, no. 1, pp. 45–53, 2015.


2014年までの研究成果