論文誌・書籍

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原著論文2014国際Asako Kanezaki, Emanuele Rodolà, Daniel Cremers, Tatsuya Harada. Learning Similarities for Rigid and Non-Rigid Object Detection. International Conference on 3D Vision (3DV 2014), pp.720-727, 2014. (DOI: 10.1109/3DV.2014.61)PDF
原著論文2014国際Masaru Mizuochi, Asako Kanezaki, Tatsuya Harada. Clothing Retrieval Based on Local Similarity with Multiple Images. Proceedings of the 22th Annual ACM International Conference on Multimedia (ACMMM 2014), pp.1165-1168, 2014. (DOI: 10.1145/2647868.2655021)PDF
原著論文2014国際Asako Kanezaki, Yusuke Mukuta, Tatsuya Harada. Mirror Reflection Invariant HOG descriptors for Object Detection. In IEEE International Conference on Image Processing (ICIP 2014), pp.1594-1598, 2014. (DOI: 10.1109/ICIP.2014.7025319)PDF
原著論文2014国際Shinichi Nakajima, Issei Sato, Masashi Sugiyama, Kazuho Watanabe, Hiroko Kobayashi. Analysis of variational Bayesian latent Dirichlet allocation: Weaker sparsity than MAP. In Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 27, pp.1224-1232, 2014.PDF
原著論文2014国際Marthinus C. du Plessis, Gang Niu, Masashi Sugiyama. Analysis of learning from positive and unlabeled data. In Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 27, pp.703-711, 2014.PDF
原著論文2014国際Kishan Wimalawarne, Masashi Sugiyama, Ryota Tomioka. Multitask learning meets tensor factorization: Task imputation via convex optimization. In Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 27, pp.2825-2833, 2014.PDF
原著論文2015国内門村亜珠沙, 李争原, 塚田 浩二, 朱浩華, 椎尾 一郎. 食行動改善を促すスマートフォン連動型センサ内蔵フォーク. 情報処理学会論文誌, Vol.56, No.1, pp.338-348, 2015.PDF
原著論文2015国際Song Liu, Taiji Suzuki, Masashi Sugiyama. Support consistency of direct sparse-change learning in Markov networks. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI2015), pp.2785-2791, Austin, Texas, USA, Jan. 25-29, 2015.PDF
著作物2015国内原田達也. 機械学習による画像理解. 映像情報メディア学会誌, 69(2), pp.117-123, 2015-02.
著作物2015国内大野和則, 山崎公俊, 下坂正倫. データ工学ロボティクス──ロボットの知能はセンサデータから生まれる──, 日本ロボット学会誌, 第33巻第2号, pp.35-37, 3, 2015.
著作物2015国際Ken Miura, Tetsuaki Mano, Atsushi Kanehira, Yuichiro Tsuchiya, Tatsuya Harada. MILJS : Brand New JavaScript Libraries for Matrix Calculation and Machine Learning. arXiv:1502.06064, 2015.PDF
著作物2015国際Ken Miura, Tatsuya Harada. Implementation of a Practical Distributed Calculation System with Browsers and JavaScript, and Application to Distributed Deep Learning. arXiv:1503.05743, 2015.PDF
原著論文2015国際Sasaki, H., Noh, Y.-K., & Sugiyama, M. Direct density-derivative estimation and its application in KL-divergence approximation. In G. Lebanon and S. V. N. Vishwanathan (Eds.), Proceedings of Eighteenth International Conference on Artificial Intelligence and Statistics (AISTATS2015), JMLR Workshop and Conference Proceedings, vol.38, pp.809-818, San Diego, California, USA, May 9-12, 2015.
原著論文2015国際du Plessis, M. C., Niu, G., & Sugiyama, M. Convex formulation for learning from positive and unlabeled data. In F. Bach and D. Blei (Eds.), Proceedings of 32nd International Conference on Machine Learning (ICML2015), JMLR Workshop and Conference Proceedings, vol.37, pp.1386-1394, Lille, France, Jul. 6-11, 2015.
原著論文2015国際du Plessis, M. C., Shiino, H., & Sugiyama, M. Online direct density-ratio estimation applied to inlier-based outlier detection. Neural Computation, vol.27, no.9, pp.1899-1914, 2015.
原著論文2015国際du Plessis, M. C., Niu, G., & Sugiyama, M. Class-prior estimation for learning from positive and unlabeled data. Proceedings of the 7th Asian Conference on Machine Learning (ACML2015), JMLR Workshop and Conference Proceedings, vol.45, pp.221-236, Hong Kong, China, Nov. 20-22, 2015.
原著論文2015国際Nguyen, T. D., du Plessis, M. C., & Sugiyama, M. Target shift adaptation in supervised learning. Proceedings of the 7th Asian Conference on Machine Learning (ACML2015), JMLR Workshop and Conference Proceedings, vol.45, pp.285-300, Hong Kong, China, Nov. 20-22, 2015.
原著論文2015国際Zhao, T., Niu, G., Xie, N., Yang, J., & Sugiyama, M. Regularized policy gradients: Direct variance reduction in policy gradient estimation. Proceedings of the 7th Asian Conference on Machine Learning (ACML2015), JMLR Workshop and Conference Proceedings, vol.45, pp.333-348, Hong Kong, China, Nov. 20-22, 2015.
原著論文2015国際Zhang, H. & Sugiyama, M. Task selection for bandit-based task assignment in heterogeneous crowdsourcing. In Proceedings of Conference on Technologies and Applications of Artificial Intelligence (TAAI2015), pp.164-171, Tainan, Taiwan, Nov. 20-22, 2015.
原著論文2015国際Zhang, H., Ma, Y., & Sugiyama, M. Bandit-based task assignment for heterogeneous crowdsourcing. Neural Computation, vol.27, no.11, pp.2447-2475, 2015.
著作物2015国内杉山 将. 機械学習のための確率と統計, 128ページ,講談社, 東京, 2015
著作物2015国際Sugiyama, M. Structural change detection by sparse density ratio estimation. In New Advances in Statistical Inference and Its Related Topics, Research Institute for Mathematical Sciences Kokyuroku, no.1954, pp.15-22, 2015.
著作物2015国内井手 剛, 杉山 将. 異常検知と変化検知, 192ページ,講談社, 東京, 2015.
著作物2015国内杉山 将, 鈴木 大慈. 機械学習の数学. 情報処理, vol.56, no.5, pp.10-15, 2015.
著作物2015国際Sugiyama, M. Introduction to Statistical Machine Learning, 534 pages, Morgan Kaufmann, Amsterdam, the Netherlands, 2015.
著作物2015国際Sugiyama, M. Statistical Reinforcement Learning: Modern Machine Learning Approaches, 206 pages, Chapman and Hall/CRC, Boca Raton, Florida, USA, 2015
原著論文2016国際Kawakubo, H., du Plessis, M. C., & Sugiyama, M. Computationally efficient class-prior estimation under class balance change using energy distance. IEICE Transactions on Information and Systems, vol.E99-D, no.1, pp.176-186, 2016.
原著論文2016国際Ma, Y., Zhao, T., Hatano, K., & Sugiyama, M. An online policy gradient algorithm for Markov decision processes with continuous states and actions. Neural Computation, vol.28, no.3, pp.563-593, 2016.
原著論文2016国際Wimalawarne, K., Tomioka, R., & Sugiyama, M. Theoretical and experimental analyses of tensor-based regression and classification. Neural Computation, vol.28, no.4, pp.686-715, 2016.
原著論文2016国際Sasaki, H., Noh, Y.-K., Niu, G., & Sugiyama, M. Direct density-derivative estimation. Neural Computation, vol.28, no.6, pp.1101-1140, 2016.
原著論文2016国際Liu, S., Suzuki, T., Sugiyama, M., & Fukumizu, K. Structure learning of partitioned Markov networks. In M. F. Balcan and K. Q. Weinberger (Eds.), Proceedings of 33rd International Conference on Machine Learning (ICML2016), JMLR Workshop and Conference Proceedings, vol.48, pp. 439-448, New York City, New York, USA, Jun. 19-24, 2016.
原著論文2016国際Sasaki, H., Niu, G., & Sugiyama, M. Non-Gaussian component analysis with log-density gradient estimation. In A. Gretton and C. Robert (Eds.), Proceedings of 19th International Conference on Artificial Intelligence and Statistics (AISTATS2016), JMLR Workshop and Conference Proceedings, vol.51, pp.1177-1185, Cadiz, Spain, May 9-11, 2016.
原著論文2014国際K. Yanagimura, K. Ohno, Y. Okada, E. Takeuchi, and S. Tadokoro, "Hovering of MAV by Using Magnetic Adhesion and Winch Mechanisms," Proc. IEEE International Conference on Robotics and Automation, pp.6250-6257, 2014
原著論文2015国際Yuichi KOMORI, Kazuaki OHNO, Takuaki FUJIEDA, Takahiro SUZUKI, Satoshi TADOKORO “Detection of Continuous Barking Actions from Search and Rescue Dogs’ Activities Data,” 2015 IEEE/RSJ International
原著論文2015国際Shoma Mizutani, Yoshito Okada, Carl John Salaan, Takuma Ishii, Kazunori Ohno, and Satoshi Tadokoro “Proposal and Experimental Validation of a Design Strategy for a UAV with a Passive Rotating Spherical Shell,” 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),pp.1271-1278, 2015.
原著論文2015国際Shakeel Muhammad, Kazunori Ohno, Daniele Nardi and Satoshi Tadokoro, “Environmental Sensing using Millimeter Wave Sensor for Extreme Conditions,”2015 IEEE International Symposium on Safety, Security, and scue Robotics, 2015.
原著論文2015国際Toru Yonezawa, Eijirou Takeuchi, Kazunori Ohno and Satoshi Tadokoro “Appearance-based Person Identification Algorithm to Search for Persons using a Flying Robot,” 2015 IEEE International Symposium on Safety, Security, and Rescue Robotics, 2015.
原著論文2015国際Toru Yonezawa, Eijiro Takeuchi, Kazunori Ohno, Satoshi Tadokoro “Path-Creation Method to Search for Persons Using a Flying Robot,” Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, pp. 1439-1446, 2015.
原著論文2016国際Abu Ubaidah Shamsudin, Kazunori Ohno, Thomas Westfechtel, Suzuki Takahiro, Yoshito Okada & Satoshi Tadokoroo, "Fog removal using laser beam penetration, laser intensity, and geometrical features for 3D measurements in fog-filled room" Advanced Robotics, 2016
原著論文2016国際Shotaro Kojima, Kazunori Ohno, Takahiro Suzuki, Thomas Westfechtel, Yoshito Okada, Satoshi Tadokoro, "Motion Control of Tracked Vehicle Based on Contact Force Model," 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016.
原著論文2016国際Carl John Salaan, Yoshito Okada, Koichi Hozumi, Kazunori Ohno, Satoshi Tadokoro, "Improvement of UAV's Flight Performance by Reducing the Drag Force of Spherical Shell," 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016.
原著論文2016国際Yoshito Okada, Takuma Ishii, Kazunori Ohno, Satoshi Tadokoro, "Real-time Restoration of Aerial Inspection Images by Recognizing and Removing Passive Rotating Shell of a UAV," 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016.
原著論文2016国際Thomas Westfechtel, Kazunori Ohno, Bärbel Mertsching, Daniel Nickchen, Shotaro Kojima, Satoshi Tadokoro, "3D Graph Based Stairway Detection and Localization for Mobile Robots," 2016 IEEE/RSJ International
著作物2014国内大野和則,ロボットビジョン レスキューロボットの環境計測と認識技術, 画像ラボ, Vol. 25, No.6, pp.54-61, 日本工業出版, 2014年6月
著作物2015国内大野和則, 古森雄一, 山口峻平, 鈴木高宏, 田所諭 “レスキューロボドッグ:−災害救助犬の行動計測スーツの開発と探査行動の可視化−,” 宮城県獣医師会会報 第68巻4号, pp. 180-186, 2015.
原著論文2015国際Masamichi Shimosaka, Keisuke Maeda, Takeshi Tsukiji, Kota Tsubouchi. Forecasting Urban Dynamics with Mobility Logs by Bilinear Poisson Regression. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), pp. 535--546, 2015.http://dl.acm.org/citation.cfm?id=2807527
原著論文2015国際Masamichi Shimosaka, Kentaro Nishi, Junichi Sato, Hirokatsu Kataoka. Predicting driving behavior using inverse reinforcement learning with multiple reward functions towards environmental diversity. In Proceedings of 2015 IEEE Intelligent Vehicles Symposium (IV 2015), pp. 567--572, 2015.
原著論文2016国際Masamichi Shimosaka, Osamu Saisho, Takuya Sunakawa, Hidenori Koyasu, Keisuke Maeda, Ryoma Kawajiri. ZigBee based wireless indoor localization with sensor placement optimization towards practical home sensing, Advanced Robotics, Vol. 30, No. 5, pp. 315—325, 2016.
著作物2015国内下坂正倫. 《小特集》クラウドソーシングの現状と可能性:3.クラウドセンシングの研究動向. 情報処理, Vol. 56, No. 10, pp. 891-894, 9 2015.