山田 誠

最終更新日時: 2020/12/16 09:33:04

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氏名(漢字/フリガナ/アルファベット表記)
山田 誠/ヤマダ マコト/YAMADA, MAKOTO
所属部署・職名(部局/所属/講座等/職名)
情報学研究科/知能情報学専攻認知システム講座/准教授
協力講座
部局 所属 講座等 職名
薬学研究科 医薬創成情報科学専攻 医薬創成情報科学講座 助教
学部兼担
部局 所属 講座等 職名
工学部
取得学位
学位名(日本語) 学位名(英語) 大学(日本語) 大学(英語) 取得区分
修士(工学) Colorado State University
博士(統計科学) 総合研究大学院大学
個人ホームページ
URL
https://riken-yamada.github.io
researchmap URL
https://researchmap.jp/myamada0
論文
著者 著者(日本語) 著者(英語) タイトル タイトル(日本語) タイトル(英語) 書誌情報等 書誌情報等(日本語) 書誌情報等(英語) 出版年月 査読の有無 記述言語 掲載種別 公開
Yao-Hung Hubert Tsai, Han Zhao 0002, Makoto Yamada, Louis-Philippe Morency, Russ R. Salakhutdinov Yao-Hung Hubert Tsai, Han Zhao 0002, Makoto Yamada, Louis-Philippe Morency, Russ R. Salakhutdinov Yao-Hung Hubert Tsai, Han Zhao 0002, Makoto Yamada, Louis-Philippe Morency, Russ R. Salakhutdinov Neural Methods for Point-wise Dependency Estimation. Neural Methods for Point-wise Dependency Estimation. Neural Methods for Point-wise Dependency Estimation. 2020 研究論文(国際会議プロシーディングス) 公開
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Fast Unbalanced Optimal Transport on a Tree. Fast Unbalanced Optimal Transport on a Tree. Fast Unbalanced Optimal Transport on a Tree. 2020 研究論文(国際会議プロシーディングス) 公開
Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Topological Bayesian Optimization with Persistence Diagrams. Topological Bayesian Optimization with Persistence Diagrams. Topological Bayesian Optimization with Persistence Diagrams. , 1483-1490 , 1483-1490 , 1483-1490 2020 研究論文(国際会議プロシーディングス) 公開
Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. , 245-254 , 245-254 , 245-254 2020 研究論文(国際会議プロシーディングス) 公開
Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang 0001 Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang 0001 Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang 0001 Semantic Correspondence as an Optimal Transport Problem. Semantic Correspondence as an Optimal Transport Problem. Semantic Correspondence as an Optimal Transport Problem. , 4462-4471 , 4462-4471 , 4462-4471 2020 研究論文(国際会議プロシーディングス) 公開
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira More Powerful Selective Kernel Tests for Feature Selection. More Powerful Selective Kernel Tests for Feature Selection. More Powerful Selective Kernel Tests for Feature Selection. , 820-830 , 820-830 , 820-830 2020 研究論文(国際会議プロシーディングス) 公開
Benjamin Poignard, Makoto Yamada Benjamin Poignard, Makoto Yamada Benjamin Poignard, Makoto Yamada Sparse Hilbert-Schmidt Independence Criterion Regression. Sparse Hilbert-Schmidt Independence Criterion Regression. Sparse Hilbert-Schmidt Independence Criterion Regression. , 538-548 , 538-548 , 538-548 2020 研究論文(国際会議プロシーディングス) 公開
Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang 0001 Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang 0001 Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang 0001 Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. , 4182-4189 , 4182-4189 , 4182-4189 2020 研究論文(国際会議プロシーディングス) 公開
Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka Scaled Coupled Norms and Coupled Higher-Order Tensor Completion. Scaled Coupled Norms and Coupled Higher-Order Tensor Completion. Scaled Coupled Norms and Coupled Higher-Order Tensor Completion. Neural Comput., 32, 2, 447-484 Neural Comput., 32, 2, 447-484 Neural Comput., 32, 2, 447-484 2020 研究論文(学術雑誌) 公開
Akihiro Isozaki, Hideharu Mikami, Kotaro Hiramatsu, Shinya Sakuma, Yusuke Kasai, Takanori Iino, Takashi Yamano, Atsushi Yasumoto, Yusuke Oguchi, Nobutake Suzuki, Yoshitaka Shirasaki, Taichiro Endo, Takuro Ito, Kei Hiraki, Makoto Yamada, Satoshi Matsusaka, Takeshi Hayakawa, Hideya Fukuzawa, Yutaka Yatomi, Fumihito Arai, Dino Di Carlo, Atsuhiro Nakagawa, Yu Hoshino, Yoichiroh Hosokawa, Sotaro Uemura, Takeaki Sugimura, Yasuyuki Ozeki, Nao Nitta, Keisuke Goda Akihiro Isozaki, Hideharu Mikami, Kotaro Hiramatsu, Shinya Sakuma, Yusuke Kasai, Takanori Iino, Takashi Yamano, Atsushi Yasumoto, Yusuke Oguchi, Nobutake Suzuki, Yoshitaka Shirasaki, Taichiro Endo, Takuro Ito, Kei Hiraki, Makoto Yamada, Satoshi Matsusaka, Takeshi Hayakawa, Hideya Fukuzawa, Yutaka Yatomi, Fumihito Arai, Dino Di Carlo, Atsuhiro Nakagawa, Yu Hoshino, Yoichiroh Hosokawa, Sotaro Uemura, Takeaki Sugimura, Yasuyuki Ozeki, Nao Nitta, Keisuke Goda Akihiro Isozaki, Hideharu Mikami, Kotaro Hiramatsu, Shinya Sakuma, Yusuke Kasai, Takanori Iino, Takashi Yamano, Atsushi Yasumoto, Yusuke Oguchi, Nobutake Suzuki, Yoshitaka Shirasaki, Taichiro Endo, Takuro Ito, Kei Hiraki, Makoto Yamada, Satoshi Matsusaka, Takeshi Hayakawa, Hideya Fukuzawa, Yutaka Yatomi, Fumihito Arai, Dino Di Carlo, Atsuhiro Nakagawa, Yu Hoshino, Yoichiroh Hosokawa, Sotaro Uemura, Takeaki Sugimura, Yasuyuki Ozeki, Nao Nitta, Keisuke Goda Author Correction: A practical guide to intelligent image-activated cell sorting. Author Correction: A practical guide to intelligent image-activated cell sorting. Author Correction: A practical guide to intelligent image-activated cell sorting. Nature protocols, 14, 11, 3273-3273 Nature protocols, 14, 11, 3273-3273 Nature protocols, 14, 11, 3273-3273 2019/11 英語 公開
Hirofumi Kobayashi, Cheng Lei, Yi Wu, Chun-Jung Huang, Atsushi Yasumoto, Masahiro Jona, Wenxuan Li, Yunzhao Wu, Yaxiaer Yalikun, Yiyue Jiang, Baoshan Guo, Chia-Wei Sun, Yo Tanaka, Makoto Yamada, Yutaka Yatomi, Keisuke Goda Hirofumi Kobayashi, Cheng Lei, Yi Wu, Chun-Jung Huang, Atsushi Yasumoto, Masahiro Jona, Wenxuan Li, Yunzhao Wu, Yaxiaer Yalikun, Yiyue Jiang, Baoshan Guo, Chia-Wei Sun, Yo Tanaka, Makoto Yamada, Yutaka Yatomi, Keisuke Goda Hirofumi Kobayashi, Cheng Lei, Yi Wu, Chun-Jung Huang, Atsushi Yasumoto, Masahiro Jona, Wenxuan Li, Yunzhao Wu, Yaxiaer Yalikun, Yiyue Jiang, Baoshan Guo, Chia-Wei Sun, Yo Tanaka, Makoto Yamada, Yutaka Yatomi, Keisuke Goda Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia. Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia. Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia. Lab on a chip, 19, 16, 2688-2698 Lab on a chip, 19, 16, 2688-2698 Lab on a chip, 19, 16, 2688-2698 2019/08/06 英語 公開
Akihiro Isozaki, Hideharu Mikami, Kotaro Hiramatsu, Shinya Sakuma, Yusuke Kasai, Takanori Iino, Takashi Yamano, Atsushi Yasumoto, Yusuke Oguchi, Nobutake Suzuki, Yoshitaka Shirasaki, Taichiro Endo, Takuro Ito, Kei Hiraki, Makoto Yamada, Satoshi Matsusaka, Takeshi Hayakawa, Hideya Fukuzawa, Yutaka Yatomi, Fumihito Arai, Dino Di Carlo, Atsuhiro Nakagawa, Yu Hoshino, Yoichiroh Hosokawa, Sotaro Uemura, Takeaki Sugimura, Yasuyuki Ozeki, Nao Nitta, Keisuke Goda Akihiro Isozaki, Hideharu Mikami, Kotaro Hiramatsu, Shinya Sakuma, Yusuke Kasai, Takanori Iino, Takashi Yamano, Atsushi Yasumoto, Yusuke Oguchi, Nobutake Suzuki, Yoshitaka Shirasaki, Taichiro Endo, Takuro Ito, Kei Hiraki, Makoto Yamada, Satoshi Matsusaka, Takeshi Hayakawa, Hideya Fukuzawa, Yutaka Yatomi, Fumihito Arai, Dino Di Carlo, Atsuhiro Nakagawa, Yu Hoshino, Yoichiroh Hosokawa, Sotaro Uemura, Takeaki Sugimura, Yasuyuki Ozeki, Nao Nitta, Keisuke Goda Akihiro Isozaki, Hideharu Mikami, Kotaro Hiramatsu, Shinya Sakuma, Yusuke Kasai, Takanori Iino, Takashi Yamano, Atsushi Yasumoto, Yusuke Oguchi, Nobutake Suzuki, Yoshitaka Shirasaki, Taichiro Endo, Takuro Ito, Kei Hiraki, Makoto Yamada, Satoshi Matsusaka, Takeshi Hayakawa, Hideya Fukuzawa, Yutaka Yatomi, Fumihito Arai, Dino Di Carlo, Atsuhiro Nakagawa, Yu Hoshino, Yoichiroh Hosokawa, Sotaro Uemura, Takeaki Sugimura, Yasuyuki Ozeki, Nao Nitta, Keisuke Goda A practical guide to intelligent image-activated cell sorting. A practical guide to intelligent image-activated cell sorting. A practical guide to intelligent image-activated cell sorting. Nature protocols, 14, 8, 2370-2415 Nature protocols, 14, 8, 2370-2415 Nature protocols, 14, 8, 2370-2415 2019/08 英語 公開
Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi Tree-Sliced Variants of Wasserstein Distances. Tree-Sliced Variants of Wasserstein Distances. Tree-Sliced Variants of Wasserstein Distances. , 12283-12294 , 12283-12294 , 12283-12294 2019 研究論文(国際会議プロシーディングス) 公開
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Approximation Ratios of Graph Neural Networks for Combinatorial Problems. Approximation Ratios of Graph Neural Networks for Combinatorial Problems. Approximation Ratios of Graph Neural Networks for Combinatorial Problems. , 4083-4092 , 4083-4092 , 4083-4092 2019 研究論文(国際会議プロシーディングス) 公開
Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum Kernel Stein Tests for Multiple Model Comparison. Kernel Stein Tests for Multiple Model Comparison. Kernel Stein Tests for Multiple Model Comparison. , 2240-2250 , 2240-2250 , 2240-2250 2019 研究論文(国際会議プロシーディングス) 公開
Kiyosato Someya, Yuichi Hiroi, Makoto Yamada, Yuta Itoh 0001 Kiyosato Someya, Yuichi Hiroi, Makoto Yamada, Yuta Itoh 0001 Kiyosato Someya, Yuichi Hiroi, Makoto Yamada, Yuta Itoh 0001 OSTNet: Calibration Method for Optical See-Through Head-Mounted Displays via Non-Parametric Distortion Map Generation. OSTNet: Calibration Method for Optical See-Through Head-Mounted Displays via Non-Parametric Distortion Map Generation. OSTNet: Calibration Method for Optical See-Through Head-Mounted Displays via Non-Parametric Distortion Map Generation. , 259-260 , 259-260 , 259-260 2019 研究論文(国際会議プロシーディングス) 公開
Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. , 4343-4352 , 4343-4352 , 4343-4352 2019 研究論文(国際会議プロシーディングス) 公開
Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima Context-Regularized Neural Collaborative Filtering for Game App Recommendation. Context-Regularized Neural Collaborative Filtering for Game App Recommendation. Context-Regularized Neural Collaborative Filtering for Game App Recommendation. Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019., 16-20 Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019., 16-20 Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019., 16-20 2019 公開
Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019 2019 研究論文(国際会議プロシーディングス) 公開
Heewon Park, Makoto Yamada, Seiya Imoto, Satoru Miyano Heewon Park, Makoto Yamada, Seiya Imoto, Satoru Miyano Heewon Park, Makoto Yamada, Seiya Imoto, Satoru Miyano Robust Sample-Specific Stability Selection with Effective Error Control. Robust Sample-Specific Stability Selection with Effective Error Control. Robust Sample-Specific Stability Selection with Effective Error Control. J. Comput. Biol., 26, 3, 202-217 J. Comput. Biol., 26, 3, 202-217 J. Comput. Biol., 26, 3, 202-217 2019 研究論文(学術雑誌) 公開
Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Bioinform., 35, 14, i427-i435-435 Bioinform., 35, 14, i427-i435-435 Bioinform., 35, 14, i427-i435-435 2019 研究論文(学術雑誌) 公開
Nao Nitta, Takeaki Sugimura, Akihiro Isozaki, Hideharu Mikami, Kei Hiraki, Shinya Sakuma, Takanori Iino, Fumihito Arai, Taichiro Endo, Yasuhiro Fujiwaki, Hideya Fukuzawa, Misa Hase, Takeshi Hayakawa, Kotaro Hiramatsu, Yu Hoshino, Mary Inaba, Takuro Ito, Hiroshi Karakawa, Yusuke Kasai, Kenichi Koizumi, SangWook Lee, Cheng Lei, Ming Li, Takanori Maeno, Satoshi Matsusaka, Daichi Murakami, Atsuhiro Nakagawa, Yusuke Oguchi, Minoru Oikawa, Tadataka Ota, Kiyotaka Shiba, Hirofumi Shintaku, Yoshitaka Shirasaki, Kanako Suga, Yuta Suzuki, Nobutake Suzuki, Yo Tanaka, Hiroshi Tezuka, Chihana Toyokawa, Yaxiaer Yalikun, Makoto Yamada, Mai Yamagishi, Takashi Yamano, Atsushi Yasumoto, Yutaka Yatomi, Masayuki Yazawa, Dino Di Carlo, Yoichiroh Hosokawa, Sotaro Uemura, Yasuyuki Ozeki, Keisuke Goda Nao Nitta, Takeaki Sugimura, Akihiro Isozaki, Hideharu Mikami, Kei Hiraki, Shinya Sakuma, Takanori Iino, Fumihito Arai, Taichiro Endo, Yasuhiro Fujiwaki, Hideya Fukuzawa, Misa Hase, Takeshi Hayakawa, Kotaro Hiramatsu, Yu Hoshino, Mary Inaba, Takuro Ito, Hiroshi Karakawa, Yusuke Kasai, Kenichi Koizumi, SangWook Lee, Cheng Lei, Ming Li, Takanori Maeno, Satoshi Matsusaka, Daichi Murakami, Atsuhiro Nakagawa, Yusuke Oguchi, Minoru Oikawa, Tadataka Ota, Kiyotaka Shiba, Hirofumi Shintaku, Yoshitaka Shirasaki, Kanako Suga, Yuta Suzuki, Nobutake Suzuki, Yo Tanaka, Hiroshi Tezuka, Chihana Toyokawa, Yaxiaer Yalikun, Makoto Yamada, Mai Yamagishi, Takashi Yamano, Atsushi Yasumoto, Yutaka Yatomi, Masayuki Yazawa, Dino Di Carlo, Yoichiroh Hosokawa, Sotaro Uemura, Yasuyuki Ozeki, Keisuke Goda Nao Nitta, Takeaki Sugimura, Akihiro Isozaki, Hideharu Mikami, Kei Hiraki, Shinya Sakuma, Takanori Iino, Fumihito Arai, Taichiro Endo, Yasuhiro Fujiwaki, Hideya Fukuzawa, Misa Hase, Takeshi Hayakawa, Kotaro Hiramatsu, Yu Hoshino, Mary Inaba, Takuro Ito, Hiroshi Karakawa, Yusuke Kasai, Kenichi Koizumi, SangWook Lee, Cheng Lei, Ming Li, Takanori Maeno, Satoshi Matsusaka, Daichi Murakami, Atsuhiro Nakagawa, Yusuke Oguchi, Minoru Oikawa, Tadataka Ota, Kiyotaka Shiba, Hirofumi Shintaku, Yoshitaka Shirasaki, Kanako Suga, Yuta Suzuki, Nobutake Suzuki, Yo Tanaka, Hiroshi Tezuka, Chihana Toyokawa, Yaxiaer Yalikun, Makoto Yamada, Mai Yamagishi, Takashi Yamano, Atsushi Yasumoto, Yutaka Yatomi, Masayuki Yazawa, Dino Di Carlo, Yoichiroh Hosokawa, Sotaro Uemura, Yasuyuki Ozeki, Keisuke Goda Intelligent Image-Activated Cell Sorting. Intelligent Image-Activated Cell Sorting. Intelligent Image-Activated Cell Sorting. Cell, 175, 1, 266-276 Cell, 175, 1, 266-276 Cell, 175, 1, 266-276 2018/09/20 英語 公開
Lei C, Kobayashi H, Wu Y, Li M, Isozaki A, Yasumoto A, Mikami H, Ito T, Nitta N, Sugimura T, Yamada M, Yatomi Y, Di Carlo D, Ozeki Y, Goda K Lei C, Kobayashi H, Wu Y, Li M, Isozaki A, Yasumoto A, Mikami H, Ito T, Nitta N, Sugimura T, Yamada M, Yatomi Y, Di Carlo D, Ozeki Y, Goda K Lei C, Kobayashi H, Wu Y, Li M, Isozaki A, Yasumoto A, Mikami H, Ito T, Nitta N, Sugimura T, Yamada M, Yatomi Y, Di Carlo D, Ozeki Y, Goda K High-throughput imaging flow cytometry by optofluidic time-stretch microscopy. High-throughput imaging flow cytometry by optofluidic time-stretch microscopy. High-throughput imaging flow cytometry by optofluidic time-stretch microscopy. Nature protocols, 13, 7, 1603-1631 Nature protocols, 13, 7, 1603-1631 Nature protocols, 13, 7, 1603-1631 2018/07 公開
Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data IEEE Transactions on Knowledge and Data Engineering, 30, 7, 1352-1365 IEEE Transactions on Knowledge and Data Engineering, 30, 7, 1352-1365 IEEE Transactions on Knowledge and Data Engineering, 30, 7, 1352-1365 2018/07/01 英語 研究論文(学術雑誌) 公開
Tam Le, Makoto Yamada Tam Le, Makoto Yamada Tam Le, Makoto Yamada Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada., 10028-10039 Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada., 10028-10039 Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada., 10028-10039 2018 公開
Kishan Wimalawarne, Makoto Yamada,Array Kishan Wimalawarne, Makoto Yamada,Array Kishan Wimalawarne, Makoto Yamada,Array Convex Coupled Matrix and Tensor Completion. Convex Coupled Matrix and Tensor Completion. Convex Coupled Matrix and Tensor Completion. Neural Computation, 30, 11 Neural Computation, 30, 11 Neural Computation, 30, 11 2018 公開
Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi Post Selection Inference with Kernels. Post Selection Inference with Kernels. Post Selection Inference with Kernels. International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 152-160 International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 152-160 International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 152-160 2018 公開
Kosuke Kikui, Yuta Itoh, Makoto Yamada, Yuta Sugiura, Maki Sugimoto Kosuke Kikui, Yuta Itoh, Makoto Yamada, Yuta Sugiura, Maki Sugimoto Kosuke Kikui, Yuta Itoh, Makoto Yamada, Yuta Sugiura, Maki Sugimoto Intra-/inter-user adaptation framework for wearable gesture sensing device. Intra-/inter-user adaptation framework for wearable gesture sensing device. Intra-/inter-user adaptation framework for wearable gesture sensing device. Proceedings of the 2018 ACM International Symposium on Wearable Computers, UbiComp 2018, Singapore, Singapore, October 8-12, 2018, 21-24 Proceedings of the 2018 ACM International Symposium on Wearable Computers, UbiComp 2018, Singapore, Singapore, October 8-12, 2018, 21-24 Proceedings of the 2018 ACM International Symposium on Wearable Computers, UbiComp 2018, Singapore, Singapore, October 8-12, 2018, 21-24 2018 公開
Tanmoy Mukherjee, Makoto Yamada, Timothy, M. Hospedales Tanmoy Mukherjee, Makoto Yamada, Timothy, M. Hospedales Tanmoy Mukherjee, Makoto Yamada, Timothy, M. Hospedales Learning Unsupervised Word Translations Without Adversaries. Learning Unsupervised Word Translations Without Adversaries. Learning Unsupervised Word Translations Without Adversaries. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 627-632 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 627-632 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 627-632 2018 公開
Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei Optimizing Whole-Page Presentation for Web Search. Optimizing Whole-Page Presentation for Web Search. Optimizing Whole-Page Presentation for Web Search. TWEB, 12, 3, 19:1-19:25 TWEB, 12, 3, 19:1-19:25 TWEB, 12, 3, 19:1-19:25 2018 公開
Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang Convex factorization machine for toxicogenomics prediction Convex factorization machine for toxicogenomics prediction Convex factorization machine for toxicogenomics prediction Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 129685, 1215-1224 Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 129685, 1215-1224 Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 129685, 1215-1224 2017/08/13 英語 研究論文(国際会議プロシーディングス) 公開
Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski Localized Lasso for High-Dimensional Regression. Localized Lasso for High-Dimensional Regression. Localized Lasso for High-Dimensional Regression. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, 325-333 Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, 325-333 Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, 325-333 2017 公開
Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu Lifecycle Modeling for Buzz Temporal Pattern Discovery Lifecycle Modeling for Buzz Temporal Pattern Discovery Lifecycle Modeling for Buzz Temporal Pattern Discovery ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 11, 2, 20:1-20:24 ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 11, 2, 20:1-20:24 ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 11, 2, 20:1-20:24 2016/12 英語 研究論文(学術雑誌) 公開
Tomoharu Iwata, Makoto Yamada Tomoharu Iwata, Makoto Yamada Tomoharu Iwata, Makoto Yamada Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 1136-1144 Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 1136-1144 Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 1136-1144 2016 公開
Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu Timeline Summarization from Social Media with Life Cycle Models. Timeline Summarization from Social Media with Life Cycle Models. Timeline Summarization from Social Media with Life Cycle Models. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 3698-3704 Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 3698-3704 Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 3698-3704 2016 公開
Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu A Robust Convex Formulation for Ensemble Clustering. A Robust Convex Formulation for Ensemble Clustering. A Robust Convex Formulation for Ensemble Clustering. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 1476-1482 Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 1476-1482 Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 1476-1482 2016 公開
Zornitsa Kozareva, Makoto Yamada Zornitsa Kozareva, Makoto Yamada Zornitsa Kozareva, Makoto Yamada Which Tumblr Post Should I Read Next? Which Tumblr Post Should I Read Next? Which Tumblr Post Should I Read Next? Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 2: Short Papers Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 2: Short Papers Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 2: Short Papers 2016 公開
Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski Sparse Network Lasso for Local High-dimensional Regression. Sparse Network Lasso for Local High-dimensional Regression. Sparse Network Lasso for Local High-dimensional Regression. CoRR, abs/1603.06743 CoRR, abs/1603.06743 CoRR, abs/1603.06743 2016 公開
Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei Beyond Ranking: Optimizing Whole-Page Presentation Beyond Ranking: Optimizing Whole-Page Presentation Beyond Ranking: Optimizing Whole-Page Presentation PROCEEDINGS OF THE NINTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'16), 103-112 PROCEEDINGS OF THE NINTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'16), 103-112 PROCEEDINGS OF THE NINTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'16), 103-112 2016 英語 研究論文(国際会議プロシーディングス) 公開
Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama Cross-Domain Matching with Squared-Loss Mutual Information Cross-Domain Matching with Squared-Loss Mutual Information Cross-Domain Matching with Squared-Loss Mutual Information IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 37, 9, 1764-1776 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 37, 9, 1764-1776 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 37, 9, 1764-1776 2015/09 英語 研究論文(学術雑誌) 公開
Makoto Yamada, Amit Goyal, Yi Chang Makoto Yamada, Amit Goyal, Yi Chang Makoto Yamada, Amit Goyal, Yi Chang Convex Factorization Machine for Regression. Convex Factorization Machine for Regression. Convex Factorization Machine for Regression. CoRR, abs/1507.01073 CoRR, abs/1507.01073 CoRR, abs/1507.01073 2015 公開
Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang Consistent Collective Matrix Completion under Joint Low Rank Structure. Consistent Collective Matrix Completion under Joint Low Rank Structure. Consistent Collective Matrix Completion under Joint Low Rank Structure. Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015 Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015 Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015 2015 公開
Makoto Yamada, Masashi Sugiyama, Jun Sese Makoto Yamada, Masashi Sugiyama, Jun Sese Makoto Yamada, Masashi Sugiyama, Jun Sese Least-squares independence regression for non-linear causal inference under non-Gaussian noise Least-squares independence regression for non-linear causal inference under non-Gaussian noise Least-squares independence regression for non-linear causal inference under non-Gaussian noise MACHINE LEARNING, 96, 3, 249-267 MACHINE LEARNING, 96, 3, 249-267 MACHINE LEARNING, 96, 3, 249-267 2014/09 英語 研究論文(学術雑誌) 公開
Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization NEURAL COMPUTATION, 26, 8, 1717-1762 NEURAL COMPUTATION, 26, 8, 1717-1762 NEURAL COMPUTATION, 26, 8, 1717-1762 2014/08 英語 研究論文(学術雑誌) 公開
Makoto Yamada, Leonid Sigal, Yi Chang Makoto Yamada, Leonid Sigal, Yi Chang Makoto Yamada, Leonid Sigal, Yi Chang Domain Adaptation for Structured Regression Domain Adaptation for Structured Regression Domain Adaptation for Structured Regression INTERNATIONAL JOURNAL OF COMPUTER VISION, 109, 1-2, 126-145 INTERNATIONAL JOURNAL OF COMPUTER VISION, 109, 1-2, 126-145 INTERNATIONAL JOURNAL OF COMPUTER VISION, 109, 1-2, 126-145 2014/08 英語 研究論文(学術雑誌) 公開
Makoto Yamada, Leonid Sigal, Michalis Raptis Makoto Yamada, Leonid Sigal, Michalis Raptis Makoto Yamada, Leonid Sigal, Michalis Raptis Covariate Shift Adaptation for Discriminative 3D Pose Estimation Covariate Shift Adaptation for Discriminative 3D Pose Estimation Covariate Shift Adaptation for Discriminative 3D Pose Estimation IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 36, 2, 235-247 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 36, 2, 235-247 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 36, 2, 235-247 2014/02 英語 研究論文(学術雑誌) 公開
Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang Consistent Collective Matrix Completion under Joint Low Rank Structure. Consistent Collective Matrix Completion under Joint Low Rank Structure. Consistent Collective Matrix Completion under Joint Low Rank Structure. CoRR, abs/1412.2113 CoRR, abs/1412.2113 CoRR, abs/1412.2113 2014 公開
Tomoharu Iwata, Makoto Yamada Tomoharu Iwata, Makoto Yamada Tomoharu Iwata, Makoto Yamada Multi-view Anomaly Detection via Probabilistic Latent Variable Models. Multi-view Anomaly Detection via Probabilistic Latent Variable Models. Multi-view Anomaly Detection via Probabilistic Latent Variable Models. CoRR, abs/1411.3413 CoRR, abs/1411.3413 CoRR, abs/1411.3413 2014 公開
Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang N LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. N LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. N LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. CoRR, abs/1411.2331 CoRR, abs/1411.2331 CoRR, abs/1411.2331 2014 公開
Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery 2014 IEEE International Conference on Data Mining (ICDM), 749-754 2014 IEEE International Conference on Data Mining (ICDM), 749-754 2014 IEEE International Conference on Data Mining (ICDM), 749-754 2014 英語 研究論文(国際会議プロシーディングス) 公開
Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric P. Xing, Masashi Sugiyama Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric P. Xing, Masashi Sugiyama Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric P. Xing, Masashi Sugiyama High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso NEURAL COMPUTATION, 26, 1, 185-207 NEURAL COMPUTATION, 26, 1, 185-207 NEURAL COMPUTATION, 26, 1, 185-207 2014/01 英語 研究論文(学術雑誌) 公開
Masashi Sugiyama, Gang Niu, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya Masashi Sugiyama, Gang Niu, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya Masashi Sugiyama, Gang Niu, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya Information-Maximization Clustering Based on Squared-Loss Mutual Information Information-Maximization Clustering Based on Squared-Loss Mutual Information Information-Maximization Clustering Based on Squared-Loss Mutual Information NEURAL COMPUTATION, 26, 1, 84-131 NEURAL COMPUTATION, 26, 1, 84-131 NEURAL COMPUTATION, 26, 1, 84-131 2014/01 英語 研究論文(学術雑誌) 公開
Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama Change-point detection in time-series data by relative density-ratio estimation Change-point detection in time-series data by relative density-ratio estimation Change-point detection in time-series data by relative density-ratio estimation NEURAL NETWORKS, 43, 72-83 NEURAL NETWORKS, 43, 72-83 NEURAL NETWORKS, 43, 72-83 2013/07 英語 研究論文(学術雑誌) 公開
Akisato Kimura, Katsuhiko Ishiguro, Makoto Yamada, Alejandro Marcos Alvarez, Kaori Kataoka, Kazuhiko Murasaki Akisato Kimura, Katsuhiko Ishiguro, Makoto Yamada, Alejandro Marcos Alvarez, Kaori Kataoka, Kazuhiko Murasaki Akisato Kimura, Katsuhiko Ishiguro, Makoto Yamada, Alejandro Marcos Alvarez, Kaori Kataoka, Kazuhiko Murasaki Image context discovery from socially curated contents Image context discovery from socially curated contents Image context discovery from socially curated contents MM 2013 - Proceedings of the 2013 ACM Multimedia Conference, 565-568 MM 2013 - Proceedings of the 2013 ACM Multimedia Conference, 565-568 MM 2013 - Proceedings of the 2013 ACM Multimedia Conference, 565-568 2013 英語 研究論文(国際会議プロシーディングス) 公開
Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura Exploiting socially-generated side information in dimensionality reduction Exploiting socially-generated side information in dimensionality reduction Exploiting socially-generated side information in dimensionality reduction SAM 2013 - Proceedings of the 2nd International Workshop on Socially-Aware Multimedia, Co-located with ACM Multimedia 2013, 9-12 SAM 2013 - Proceedings of the 2nd International Workshop on Socially-Aware Multimedia, Co-located with ACM Multimedia 2013, 9-12 SAM 2013 - Proceedings of the 2nd International Workshop on Socially-Aware Multimedia, Co-located with ACM Multimedia 2013, 9-12 2013 英語 研究論文(国際会議プロシーディングス) 公開
Makoto Yamada, Akisato Kimura, Futoshi Naya, Hiroshi Sawada Makoto Yamada, Akisato Kimura, Futoshi Naya, Hiroshi Sawada Makoto Yamada, Akisato Kimura, Futoshi Naya, Hiroshi Sawada Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 2013 公開
Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata Clustering-based anomaly detection in multi-view data. Clustering-based anomaly detection in multi-view data. Clustering-based anomaly detection in multi-view data. 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, 1545-1548 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, 1545-1548 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, 1545-1548 2013 公開
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Relative Density-Ratio Estimation for Robust Distribution Comparison. Relative Density-Ratio Estimation for Robust Distribution Comparison. Relative Density-Ratio Estimation for Robust Distribution Comparison. Neural Computation, 25, 5, 1324-1370 Neural Computation, 25, 5, 1324-1370 Neural Computation, 25, 5, 1324-1370 2013 研究論文(学術雑誌) 公開
Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Masao Yamanaka, Makoto Yamada, Taiji Suzuki, Takafumi Kanamori Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Masao Yamanaka, Makoto Yamada, Taiji Suzuki, Takafumi Kanamori Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Masao Yamanaka, Makoto Yamada, Taiji Suzuki, Takafumi Kanamori Direct divergence approximation between probability distributions and its applications in machine learning Direct divergence approximation between probability distributions and its applications in machine learning Direct divergence approximation between probability distributions and its applications in machine learning Journal of Computing Science and Engineering, 7, 2, 99-111 Journal of Computing Science and Engineering, 7, 2, 99-111 Journal of Computing Science and Engineering, 7, 2, 99-111 2013 研究論文(学術雑誌) 公開
Makoto Yamada, Gordon Wichern, Kazunobu Kondo, Masashi Sugiyama, Hiroshi Sawada Makoto Yamada, Gordon Wichern, Kazunobu Kondo, Masashi Sugiyama, Hiroshi Sawada Makoto Yamada, Gordon Wichern, Kazunobu Kondo, Masashi Sugiyama, Hiroshi Sawada Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis DIGITAL SIGNAL PROCESSING, 23, 1, 1-8 DIGITAL SIGNAL PROCESSING, 23, 1, 1-8 DIGITAL SIGNAL PROCESSING, 23, 1, 1-8 2013/01 英語 研究論文(学術雑誌) 公開
Masashi Sugiyama, Makoto Yamada Masashi Sugiyama, Makoto Yamada Masashi Sugiyama, Makoto Yamada On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E95D, 10, 2564-2567 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E95D, 10, 2564-2567 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E95D, 10, 2564-2567 2012/10 英語 研究論文(学術雑誌) 公開
Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Information-theoretic Semi-supervised Metric Learning via Entropy Regularization Information-theoretic Semi-supervised Metric Learning via Entropy Regularization Information-theoretic Semi-supervised Metric Learning via Entropy Regularization CoRR, abs/1206.4614 CoRR, abs/1206.4614 CoRR, abs/1206.4614 2012 公開
Makoto Yamada, Leonid Sigal,Michalis Raptis, Masashi Sugiyama Makoto Yamada, Leonid Sigal,Michalis Raptis, Masashi Sugiyama Makoto Yamada, Leonid Sigal,Michalis Raptis, Masashi Sugiyama Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information CoRR, abs/1206.4116 CoRR, abs/1206.4116 CoRR, abs/1206.4116 2012 公開
Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 7626, 363-372 STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 7626, 363-372 STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 7626, 363-372 2012 英語 研究論文(国際会議プロシーディングス) 公開
Makoto Yamada, Wittawat Ji, krittum, Leonid Sigal, Masashi Sugiyama Makoto Yamada, Wittawat Ji, krittum, Leonid Sigal, Masashi Sugiyama Makoto Yamada, Wittawat Ji, krittum, Leonid Sigal, Masashi Sugiyama High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso CoRR, abs/1202.0515 CoRR, abs/1202.0515 CoRR, abs/1202.0515 2012 公開
Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 7626, 363-372 STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 7626, 363-372 STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 7626, 363-372 2012 英語 研究論文(国際会議プロシーディングス) 公開
Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 2012 公開
Makoto Yamada, Leonid Sigal, Michalis Raptis Makoto Yamada, Leonid Sigal, Michalis Raptis Makoto Yamada, Leonid Sigal, Michalis Raptis No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation COMPUTER VISION - ECCV 2012, PT IV, 7575, 674-687 COMPUTER VISION - ECCV 2012, PT IV, 7575, 674-687 COMPUTER VISION - ECCV 2012, PT IV, 7575, 674-687 2012 英語 研究論文(国際会議プロシーディングス) 公開
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm Improving the Accuracy of Least-Squares Probabilistic Classifiers Improving the Accuracy of Least-Squares Probabilistic Classifiers Improving the Accuracy of Least-Squares Probabilistic Classifiers IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E94D, 6, 1337-1340 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E94D, 6, 1337-1340 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E94D, 6, 1337-1340 2011/06 英語 研究論文(学術雑誌) 公開
Masashi Sugiyama, Makoto Yamada, Paul von Buenau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe Masashi Sugiyama, Makoto Yamada, Paul von Buenau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe Masashi Sugiyama, Makoto Yamada, Paul von Buenau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search NEURAL NETWORKS, 24, 2, 183-198 NEURAL NETWORKS, 24, 2, 183-198 NEURAL NETWORKS, 24, 2, 183-198 2011/03 英語 研究論文(学術雑誌) 公開
Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11) In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11) In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11) 2011 公開
Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Cross-Domain Object Matching with Model Selection Cross-Domain Object Matching with Model Selection Cross-Domain Object Matching with Model Selection In Proceedings of Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS2011), 807-815 In Proceedings of Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS2011), 807-815 In Proceedings of Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS2011), 807-815 2011 公開
Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Computationally efficient sufficient dimension reduction via squared-loss mutual information Computationally efficient sufficient dimension reduction via squared-loss mutual information Computationally efficient sufficient dimension reduction via squared-loss mutual information Journal of Machine Learning Research, 20, 247-262 Journal of Machine Learning Research, 20, 247-262 Journal of Machine Learning Research, 20, 247-262 2011 研究論文(国際会議プロシーディングス) 公開
Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity CoRR, abs/1105.0167 CoRR, abs/1105.0167 CoRR, abs/1105.0167 2011 公開
Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Suffcient Component Analysis. Suffcient Component Analysis. Suffcient Component Analysis. Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011, 247-262 Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011, 247-262 Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011, 247-262 2011 公開
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Relative Density-Ratio Estimation for Robust Distribution Comparison. Relative Density-Ratio Estimation for Robust Distribution Comparison. Relative Density-Ratio Estimation for Robust Distribution Comparison. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain., 594-602 Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain., 594-602 Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain., 594-602 2011 公開
Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya On information-maximization clustering: Tuning parameter selection and analytic solution On information-maximization clustering: Tuning parameter selection and analytic solution On information-maximization clustering: Tuning parameter selection and analytic solution Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 65-72 Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 65-72 Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 65-72 2011 研究論文(国際会議プロシーディングス) 公開
Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masashi Sugiyama, Makoto Yamada, Hirokazu Kameoka Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masashi Sugiyama, Makoto Yamada, Hirokazu Kameoka Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masashi Sugiyama, Makoto Yamada, Hirokazu Kameoka AUTOMATIC AUDIO TAG CLASSIFICATION VIA SEMI-SUPERVISED CANONICAL DENSITY ESTIMATION AUTOMATIC AUDIO TAG CLASSIFICATION VIA SEMI-SUPERVISED CANONICAL DENSITY ESTIMATION AUTOMATIC AUDIO TAG CLASSIFICATION VIA SEMI-SUPERVISED CANONICAL DENSITY ESTIMATION 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2232-2235 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2232-2235 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2232-2235 2011 英語 研究論文(国際会議プロシーディングス) 公開
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D, 10, 2846-2849 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D, 10, 2846-2849 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D, 10, 2846-2849 2010/10 英語 研究論文(学術雑誌) 公開
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui Makoto Yamada, Masashi Sugiyama, Tomoko Matsui Makoto Yamada, Masashi Sugiyama, Tomoko Matsui Semi-supervised speaker identification under covariate shift Semi-supervised speaker identification under covariate shift Semi-supervised speaker identification under covariate shift SIGNAL PROCESSING, 90, 8, 2353-2361 SIGNAL PROCESSING, 90, 8, 2353-2361 SIGNAL PROCESSING, 90, 8, 2353-2361 2010/08 英語 研究論文(学術雑誌) 公開
Makoto Yamada, Masashi Sugiyama, Gordon Wichern Makoto Yamada, Masashi Sugiyama, Gordon Wichern Makoto Yamada, Masashi Sugiyama, Gordon Wichern DIRECT IMPORTANCE ESTIMATION WITH PROBABILISTIC PRINCIPAL COMPONENT ANALYZERS DIRECT IMPORTANCE ESTIMATION WITH PROBABILISTIC PRINCIPAL COMPONENT ANALYZERS DIRECT IMPORTANCE ESTIMATION WITH PROBABILISTIC PRINCIPAL COMPONENT ANALYZERS 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 1962-1965 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 1962-1965 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 1962-1965 2010 英語 研究論文(国際会議プロシーディングス) 公開
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Tomoko Matsui Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Tomoko Matsui Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Tomoko Matsui ACCELERATION OF SEQUENCE KERNEL COMPUTATION FOR REAL-TIME SPEAKER IDENTIFICATION ACCELERATION OF SEQUENCE KERNEL COMPUTATION FOR REAL-TIME SPEAKER IDENTIFICATION ACCELERATION OF SEQUENCE KERNEL COMPUTATION FOR REAL-TIME SPEAKER IDENTIFICATION 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 1626-1629 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 1626-1629 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 1626-1629 2010 英語 研究論文(国際会議プロシーディングス) 公開
Gordon Wichern, Makoto Yamada, Harvey Thornburg, Masashi Sugiyama, Andreas Spanias Gordon Wichern, Makoto Yamada, Harvey Thornburg, Masashi Sugiyama, Andreas Spanias Gordon Wichern, Makoto Yamada, Harvey Thornburg, Masashi Sugiyama, Andreas Spanias AUTOMATIC AUDIO TAGGING USING COVARIATE SHIFT ADAPTATION AUTOMATIC AUDIO TAGGING USING COVARIATE SHIFT ADAPTATION AUTOMATIC AUDIO TAGGING USING COVARIATE SHIFT ADAPTATION 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 253-256 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 253-256 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 253-256 2010 英語 研究論文(国際会議プロシーディングス) 公開
Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 2010 公開
Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Direct Importance Estimation with Gaussian Mixture Models Direct Importance Estimation with Gaussian Mixture Models Direct Importance Estimation with Gaussian Mixture Models IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E92D, 10, 2159-2162 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E92D, 10, 2159-2162 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E92D, 10, 2159-2162 2009/10 英語 研究論文(学術雑誌) 公開
Kazunobu Kondo, Makoto Yamada, Hideki Kenmochi Kazunobu Kondo, Makoto Yamada, Hideki Kenmochi Kazunobu Kondo, Makoto Yamada, Hideki Kenmochi A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules. A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules. A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules. INTERSPEECH 2009, 10th Annual Conference of the International Speech Communication Association, Brighton, United Kingdom, September 6-10, 2009, 1339-1342 INTERSPEECH 2009, 10th Annual Conference of the International Speech Communication Association, Brighton, United Kingdom, September 6-10, 2009, 1339-1342 INTERSPEECH 2009, 10th Annual Conference of the International Speech Communication Association, Brighton, United Kingdom, September 6-10, 2009, 1339-1342 2009 公開
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui Makoto Yamada, Masashi Sugiyama, Tomoko Matsui Makoto Yamada, Masashi Sugiyama, Tomoko Matsui Covariate shift adaptation for semi-supervised speaker identification. Covariate shift adaptation for semi-supervised speaker identification. Covariate shift adaptation for semi-supervised speaker identification. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan, 1661-1664 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan, 1661-1664 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan, 1661-1664 2009 公開
Makoto Yamada, Mahmood R. Azimi-Sadjadi Makoto Yamada, Mahmood R. Azimi-Sadjadi Makoto Yamada, Mahmood R. Azimi-Sadjadi Nonlinear signal estimation using kernel Wiener filter in Canonical Correlation Analysis framework Nonlinear signal estimation using kernel Wiener filter in Canonical Correlation Analysis framework Nonlinear signal estimation using kernel Wiener filter in Canonical Correlation Analysis framework INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS, 1095-+ INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS, 1095-+ INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS, 1095-+ 2006 英語 研究論文(国際会議プロシーディングス) 公開
Makoto Yamada, Mahmood, R. Azimi-Sadjadi Makoto Yamada, Mahmood, R. Azimi-Sadjadi Makoto Yamada, Mahmood, R. Azimi-Sadjadi Kernel Wiener Filter with Distance Constraint. Kernel Wiener Filter with Distance Constraint. Kernel Wiener Filter with Distance Constraint. 2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 596-599 2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 596-599 2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 596-599 2006 公開
Makoto Yamada, Mahmood R. Azimi-Sadjadi Makoto Yamada, Mahmood R. Azimi-Sadjadi Makoto Yamada, Mahmood R. Azimi-Sadjadi Kernel Wiener filter using Canonical Correlation Analysis framework Kernel Wiener filter using Canonical Correlation Analysis framework Kernel Wiener filter using Canonical Correlation Analysis framework 2005 IEEE/SP 13TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING (SSP), VOLS 1 AND 2, 713-718 2005 IEEE/SP 13TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING (SSP), VOLS 1 AND 2, 713-718 2005 IEEE/SP 13TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING (SSP), VOLS 1 AND 2, 713-718 2005 英語 研究論文(国際会議プロシーディングス) 公開

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タイトル言語:
Misc
著者 著者(日本語) 著者(英語) タイトル タイトル(日本語) タイトル(英語) 書誌情報等 書誌情報等(日本語) 書誌情報等(英語) 出版年月 査読の有無 記述言語 掲載種別 公開
Masashi Sugiyama, Makoto Yamada, Marthinus Christoffel du Plessis Masashi Sugiyama, Makoto Yamada, Marthinus Christoffel du Plessis Masashi Sugiyama, Makoto Yamada, Marthinus Christoffel du Plessis Learning under nonstationarity: Covariate shift and class-balance change Learning under nonstationarity: Covariate shift and class-balance change Learning under nonstationarity: Covariate shift and class-balance change Wiley Interdisciplinary Reviews: Computational Statistics, 5, 6, 465-477 Wiley Interdisciplinary Reviews: Computational Statistics, 5, 6, 465-477 Wiley Interdisciplinary Reviews: Computational Statistics, 5, 6, 465-477 2013/11 書評論文、書評、文献紹介等 公開
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Relative Density-Ratio Estimation for Robust Distribution Comparison Relative Density-Ratio Estimation for Robust Distribution Comparison Relative Density-Ratio Estimation for Robust Distribution Comparison 2011/06/23 機関テクニカルレポート、技術報告書、プレプリント等 公開
Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity 2011/05/01 機関テクニカルレポート、技術報告書、プレプリント等 公開
Makoto Yamada, Masashi Sugiyama, Jun Sese Makoto Yamada, Masashi Sugiyama, Jun Sese Makoto Yamada, Masashi Sugiyama, Jun Sese Least-Squares Independence Regression for Non-Linear Causal Inference under Non-Gaussian Noise Least-Squares Independence Regression for Non-Linear Causal Inference under Non-Gaussian Noise Least-Squares Independence Regression for Non-Linear Causal Inference under Non-Gaussian Noise 2011/03/29 講演資料等(セミナー、チュートリアル、講習、講義) 公開
Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Sufficient Component Analysis for Supervised Dimension Reduction Sufficient Component Analysis for Supervised Dimension Reduction Sufficient Component Analysis for Supervised Dimension Reduction 2011/03/26 機関テクニカルレポート、技術報告書、プレプリント等 公開
Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Cross-Domain Object Matching with Model Selection Cross-Domain Object Matching with Model Selection Cross-Domain Object Matching with Model Selection 2010/12/07 講演資料等(セミナー、チュートリアル、講習、講義) 公開
タイトル言語:
学術賞等
賞の名称(日本語) 賞の名称(英語) 授与組織名(日本語) 授与組織名(英語) 年月
WSDM 2019 Outstanding Reviewer award WSDM 2019 Outstanding Reviewer award Association for Computing Machinery (ACM) Association for Computing Machinery (ACM) 2019/02/11
WSDM 2020 Outstanding Reviewer Award WSDM 2019 Outstanding Reviewer award Association for Computing Machinery (ACM) Association for Computing Machinery (ACM) 2020/02/3
外部資金:競争的資金 (科学研究費補助金)
種別 代表/分担 テーマ(日本語) テーマ(英語) 期間
若手研究(B) 代表 超高次元データに対する非線形解析手法の研究開発 (平成29年度分) 2017/04/01〜2018/03/31
さきがけ 代表 科学的発見のための非線形機械学習技術の創生 2016/09/01〜2020/03/31
基盤研究 (S) 分担 個別化医療の開発のための統計的方法論の構築とその実践に関する総合的研究 2018/10/1〜2021/03/31
基礎研究 (B) 代表 高次元小標本データのための非線形選択的推論アルゴリズムの研究開発 2020/04/01〜2024/03/31
担当科目
講義名(日本語) 講義名(英語) 開講期 学部/研究科 年度
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2016/04〜2017/03
情報科学概論 Introduction to Bioinformatics 前期不定 薬学研究科 2016/04〜2017/03
計算機科学実験及演習2 Computer Science Laboratory and Exercise 2 後期 工学部 2018/04〜2019/03
計算機科学実験及演習3 Computer Science Laboratory and Exercise 3 前期 工学部 2018/04〜2019/03
情報と職業 Information and Business 前期 工学部 2019/04〜2020/03
統計入門 Introductory Statistics 前期 全学共通科目 2019/04〜2020/03
統計的学習理論 Statistical Learning Theory 前期 工学研究科 2019/04〜2020/03
統計的学習理論 Statistical Learning Theory 前期 情報学研究科 2019/04〜2020/03
計算機科学実験及演習2 Computer Science Laboratory and Exercise 2 後期 工学部 2019/04〜2020/03
計算機科学実験及演習3 Computer Science Laboratory and Exercise 3 前期 工学部 2019/04〜2020/03
統計と人工知能 Statistics and Artificial Intelligence 前期 全学共通科目 2020/04〜2021/03
統計と人工知能 Statistics and Artificial Intelligence 後期 全学共通科目 2020/04〜2021/03
統計的学習理論 Statistical Learning Theory 前期 工学研究科 2020/04〜2021/03
統計的学習理論 Statistical Learning Theory 前期 情報学研究科 2020/04〜2021/03
計算機科学実験及演習2(計算機) Computer Science Laboratory and Exercise 2 後期 工学部 2020/04〜2021/03

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指導学生の受賞
受賞した学生名 賞の名称 授与組織名 年月
白石 竜也 人工知能学会2019年度全国大会学生奨励賞 人工知能学会 2019/06/04
豊國 郁⼈ 全国大会学生奨励賞 人工知能学会 2020
部局運営(役職等)
役職名 期間
化学研究所広報委員会委員 2016/04/01〜2017/03/31
図書WG委員 2018/04/01〜2019/03/31
学会活動:学会役員歴
学会名(日本語) 学会名(英語) 役職名(日本語) 役職名(英語) 期間
AISTATS 2019 AISTATS 2019 Workflow Chair Workflow Chair 2018/07/01〜2019/04/18
学会活動:査読委員歴
学会名(日本語) 学会名(英語) ジャーナル名(日本語) ジャーナル名(英語) 期間
ICML 2019 ICML 2019
WSDM 2019 WSDM 2019
AAAI 2020 AAAI 2020
WebConf 2020 WebConf 2020
IJCAI 2020 IJCAI 2020