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2020 – today
- 2022
- [i44]Yuki Takezawa, Kenta Niwa, Makoto Yamada:
Communication Compression for Decentralized Learning with Operator Splitting Methods. CoRR abs/2205.03779 (2022) - 2021
- [c82]Tam Le, Nhat Ho, Makoto Yamada:
Flow-based Alignment Approaches for Probability Measures in Different Spaces. AISTATS 2021: 3934-3942 - [c81]Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada:
Computationally Efficient Wasserstein Loss for Structured Labels. EACL (Student Research Workshop) 2021: 1-7 - [c80]Tobias Freidling, Benjamin Poignard, Héctor Climente-González, Makoto Yamada:
Post-selection inference with HSIC-Lasso. ICML 2021: 3439-3448 - [c79]Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne:
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. ICML 2021: 8084-8095 - [c78]Yuki Takezawa, Ryoma Sato, Makoto Yamada:
Supervised Tree-Wasserstein Distance. ICML 2021: 10086-10095 - [c77]Hiroaki Yamada, Makoto Yamada:
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares. NeurIPS 2021: 14645-14655 - [c76]Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen:
Adversarial Regression with Doubly Non-negative Weighting Matrices. NeurIPS 2021: 16964-16976 - [c75]Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang:
LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport. ECML/PKDD (1) 2021: 655-670 - [c74]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Random Features Strengthen Graph Neural Networks. SDM 2021: 333-341 - [i43]Yuki Takezawa, Ryoma Sato, Makoto Yamada:
Supervised Tree-Wasserstein Distance. CoRR abs/2101.11520 (2021) - [i42]Hiroaki Yamada, Makoto Yamada:
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares. CoRR abs/2102.04108 (2021) - [i41]Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada:
Computationally Efficient Wasserstein Loss for Structured Labels. CoRR abs/2103.00899 (2021) - [i40]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Re-evaluating Word Mover's Distance. CoRR abs/2105.14403 (2021) - [i39]Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada:
Fixed Support Tree-Sliced Wasserstein Barycenter. CoRR abs/2109.03431 (2021) - [i38]Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen:
Adversarial Regression with Doubly Non-negative Weighting Matrices. CoRR abs/2109.14875 (2021) - [i37]Hardik Tankaria, Dinesh Singh, Makoto Yamada:
Nys-Curve: Nyström-Approximated Curvature for Stochastic Optimization. CoRR abs/2110.08577 (2021) - 2020
- [j38]Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka
:
Scaled Coupled Norms and Coupled Higher-Order Tensor Completion. Neural Comput. 32(2): 447-484 (2020) - [c73]Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang:
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. AAAI 2020: 4182-4189 - [c72]Benjamin Poignard, Makoto Yamada:
Sparse Hilbert-Schmidt Independence Criterion Regression. AISTATS 2020: 538-548 - [c71]Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira:
More Powerful Selective Kernel Tests for Feature Selection. AISTATS 2020: 820-830 - [c70]Yanbin Liu, Linchao Zhu
, Makoto Yamada, Yi Yang:
Semantic Correspondence as an Optimal Transport Problem. CVPR 2020: 4462-4471 - [c69]Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima:
Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. DSAA 2020: 245-254 - [c68]Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada:
Topological Bayesian Optimization with Persistence Diagrams. ECAI 2020: 1483-1490 - [c67]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Fast Unbalanced Optimal Transport on a Tree. NeurIPS 2020 - [c66]Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov:
Neural Methods for Point-wise Dependency Estimation. NeurIPS 2020 - [i36]Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang:
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. CoRR abs/2001.06216 (2020) - [i35]Dinesh Singh, Makoto Yamada:
FsNet: Feature Selection Network on High-dimensional Biological Data. CoRR abs/2001.08322 (2020) - [i34]Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima:
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. CoRR abs/2002.01615 (2020) - [i33]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Random Features Strengthen Graph Neural Networks. CoRR abs/2002.03155 (2020) - [i32]Mathis Petrovich, Makoto Yamada:
Fast local linear regression with anchor regularization. CoRR abs/2003.05747 (2020) - [i31]Ziyin Liu, Zihao Wang
, Makoto Yamada, Masahito Ueda:
Volumization as a Natural Generalization of Weight Decay. CoRR abs/2003.11243 (2020) - [i30]Mathis Petrovich, Chao Liang, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada:
Feature Robust Optimal Transport for High-dimensional Data. CoRR abs/2005.12123 (2020) - [i29]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Fast Unbalanced Optimal Transport on Tree. CoRR abs/2006.02703 (2020) - [i28]Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov:
Neural Methods for Point-wise Dependency Estimation. CoRR abs/2006.05553 (2020) - [i27]Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne:
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. CoRR abs/2006.07593 (2020) - [i26]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Poincare: Recommending Publication Venues via Treatment Effect Estimation. CoRR abs/2010.09157 (2020)
2010 – 2019
- 2019
- [j37]Héctor Climente-González
, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada:
Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Bioinform. 35(14): i427-i435 (2019) - [j36]Heewon Park, Makoto Yamada, Seiya Imoto, Satoru Miyano
:
Robust Sample-Specific Stability Selection with Effective Error Control. J. Comput. Biol. 26(3): 202-217 (2019) - [c65]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Learning to Sample Hard Instances for Graph Algorithms. ACML 2019: 503-518 - [c64]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. EMNLP/IJCNLP (1) 2019: 4343-4352 - [c63]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. ICLR (Poster) 2019 - [c62]Kiyosato Someya, Yuichi Hiroi, Makoto Yamada, Yuta Itoh:
OSTNet: Calibration Method for Optical See-Through Head-Mounted Displays via Non-Parametric Distortion Map Generation. ISMAR Adjunct 2019: 259-260 - [c61]Makoto Yamada, Tomoya Sato, Hiroyuki Chishiro, Shinpei Kato:
Vision-based Localization using a Monocular Camera in the Rain. ITSC 2019: 293-298 - [c60]Daiki Tanaka, Makoto Yamada, Hisashi Kashima, Takeshi Kishikawa, Tomoyuki Haga, Takamitsu Sasaki:
In-Vehicle Network Intrusion Detection and Explanation Using Density Ratio Estimation. ITSC 2019: 2238-2243 - [c59]Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum:
Kernel Stein Tests for Multiple Model Comparison. NeurIPS 2019: 2240-2250 - [c58]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. NeurIPS 2019: 4083-4092 - [c57]Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi:
Tree-Sliced Variants of Wasserstein Distances. NeurIPS 2019: 12283-12294 - [c56]Yohei Kameyama, Kanami Ikeda, Osanori Koyama, Makoto Yamada:
Single-pixel Imaging using a Multi-core Fiber. OECC/PSC 2019: 1-3 - [c55]Keigo Minou, Seiya Aso, Osanori Koyama, Minoru Yamaguchi, Yudai Tomioka, Yuki Ogura, Kanami Ikeda, Makoto Yamada:
OpenFlow-based Remote Control of Optical Switch Employing IoT Device in AWG-STAR with Loop-back Function. OECC/PSC 2019: 1-3 - [c54]Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima:
Context-Regularized Neural Collaborative Filtering for Game App Recommendation. RecSys (Late-Breaking Results) 2019: 16-20 - [c53]Naotaka Tomita, Kouki Nagamune, Makoto Yamada:
Effect of Cutting Maneuvers on Center of Foot Pressure Movement in University Tennis Players. SMC 2019: 1177-1181 - [i25]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Constant Time Graph Neural Networks. CoRR abs/1901.07868 (2019) - [i24]Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi:
Tree-Sliced Approximation of Wasserstein Distances. CoRR abs/1902.00342 (2019) - [i23]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Learning to Find Hard Instances of Graph Problems. CoRR abs/1902.09700 (2019) - [i22]Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada:
Topological Bayesian Optimization with Persistence Diagrams. CoRR abs/1902.09722 (2019) - [i21]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. CoRR abs/1905.10261 (2019) - [i20]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. CoRR abs/1908.11775 (2019) - [i19]Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang:
LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. CoRR abs/1909.02373 (2019) - [i18]Tam Le, Nhat Ho, Makoto Yamada:
Computationally Efficient Tree Variants of Gromov-Wasserstein. CoRR abs/1910.04462 (2019) - [i17]Tam Le, Viet Huynh, Nhat Ho, Dinh Q. Phung, Makoto Yamada:
On Scalable Variant of Wasserstein Barycenter. CoRR abs/1910.04483 (2019) - [i16]Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira:
More Powerful Selective Kernel Tests for Feature Selection. CoRR abs/1910.06134 (2019) - [i15]Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum:
Kernel Stein Tests for Multiple Model Comparison. CoRR abs/1910.12252 (2019) - 2018
- [j35]Toshinori Murakami, Osanori Koyama, Akihiro Kusama, Makoto Matsui, Makoto Yamada:
Loss peak adjustment of long period fiber grating fabricated with CO2 laser by applying tension. IEICE Electron. Express 15(23): 20180844 (2018) - [j34]Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka
:
Convex Coupled Matrix and Tensor Completion. Neural Comput. 30(11) (2018) - [j33]Makoto Yamada
, Jiliang Tang, Jose Lugo-Martinez
, Ermin Hodzic, Raunak Shrestha
, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka
, Süleyman Cenk Sahinalp
, Predrag Radivojac
, Filippo Menczer
, Yi Chang:
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. 30(7): 1352-1365 (2018) - [j32]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei:
Optimizing Whole-Page Presentation for Web Search. ACM Trans. Web 12(3): 19:1-19:25 (2018) - [c52]Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi:
Post Selection Inference with Kernels. AISTATS 2018: 152-160 - [c51]Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales:
Learning Unsupervised Word Translations Without Adversaries. EMNLP 2018: 627-632 - [c50]Kosuke Kikui, Yuta Itoh, Makoto Yamada, Yuta Sugiura, Maki Sugimoto:
Intra-/inter-user adaptation framework for wearable gesture sensing device. UbiComp 2018: 21-24 - [c49]Yao-Hung Hubert Tsai, Denny Wu, Makoto Yamada, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu:
Selecting the Best in GANs Family: a Post Selection Inference Framework. ICLR (Workshop) 2018 - [c48]Tam Le, Makoto Yamada:
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. NeurIPS 2018: 10028-10039 - [c47]Kouki Nagamune, Makoto Yamada:
A Wearable Measurement System for Sole Pressure to Calculate Center of Pressure in Sports Activity. SMC 2018: 1333-1336 - [c46]Makoto Yamada, Kouki Nagamune:
A Development of Measurement System for Foot Pressure by Using Optical Force Sensors. WAC 2018: 1-5 - [i14]Tam Le, Makoto Yamada:
Riemannian Manifold Kernel for Persistence Diagrams. CoRR abs/1802.03569 (2018) - [i13]Denny Wu, Yixiu Zhao, Yao-Hung Hubert Tsai, Makoto Yamada, Ruslan Salakhutdinov:
"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study. CoRR abs/1802.05408 (2018) - [i12]Yao-Hung Hubert Tsai, Makoto Yamada, Denny Wu, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu:
Selecting the Best in GANs Family: a Post Selection Inference Framework. CoRR abs/1802.05411 (2018) - 2017
- [c45]Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski:
Localized Lasso for High-Dimensional Regression. AISTATS 2017: 325-333 - [c44]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. KDD 2017: 1215-1224 - [i11]Makoto Yamada, Song Liu, Samuel Kaski:
Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation. CoRR abs/1702.06354 (2017) - [i10]Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales:
Deep Matching Autoencoders. CoRR abs/1711.06047 (2017) - 2016
- [j31]Makoto Yamada, Tsukasa Kondo, Kai Wakasa:
High Efficiency Machining for Integral Shaping from Simplicity Materials Using Five-Axis Machine Tools. Int. J. Autom. Technol. 10(5): 804-812 (2016) - [j30]Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu:
Lifecycle Modeling for Buzz Temporal Pattern Discovery. ACM Trans. Knowl. Discov. Data 11(2): 20:1-20:24 (2016) - [c43]Zornitsa Kozareva, Makoto Yamada:
Which Tumblr Post Should I Read Next? ACL (2) 2016 - [c42]Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu:
A Robust Convex Formulation for Ensemble Clustering. IJCAI 2016: 1476-1482 - [c41]Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu:
Timeline Summarization from Social Media with Life Cycle Models. IJCAI 2016: 3698-3704 - [c40]Tomoharu Iwata, Makoto Yamada:
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. NIPS 2016: 1136-1144 - [c39]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang
, Makoto Yamada, Yi Chang, Qiaozhu Mei:
Beyond Ranking: Optimizing Whole-Page Presentation. WSDM 2016: 103-112 - [i9]Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski:
Sparse Network Lasso for Local High-dimensional Regression. CoRR abs/1603.06743 (2016) - 2015
- [j29]Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama
:
Cross-Domain Matching with Squared-Loss Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1764-1776 (2015) - [j28]Nguyen Ngoc Mai Khanh, Tetsuya Iizuka, Akihiko Sasaki, Makoto Yamada, Osamu Morita, Kunihiro Asada:
A Near-Field Magnetic Sensing System With High-Spatial Resolution and Application for Security of Cryptographic LSIs. IEEE Trans. Instrum. Meas. 64(4): 840-848 (2015) - [c38]Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang:
Consistent Collective Matrix Completion under Joint Low Rank Structure. AISTATS 2015 - [i8]Makoto Yamada, Amit Goyal, Yi Chang:
Convex Factorization Machine for Regression. CoRR abs/1507.01073 (2015) - 2014
- [j27]Makoto Yamada, Leonid Sigal, Yi Chang:
Domain Adaptation for Structured Regression. Int. J. Comput. Vis. 109(1-2): 126-145 (2014) - [j26]Makoto Yamada, Masashi Sugiyama
, Jun Sese:
Least-squares independence regression for non-linear causal inference under non-Gaussian noise. Mach. Learn. 96(3): 249-267 (2014) - [j25]Masashi Sugiyama
, Gang Niu, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya:
Information-Maximization Clustering Based on Squared-Loss Mutual Information. Neural Comput. 26(1): 84-131 (2014) - [j24]Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric P. Xing, Masashi Sugiyama
:
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. Neural Comput. 26(1): 185-207 (2014) - [j23]Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama
:
Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization. Neural Comput. 26(8): 1717-1762 (2014) - [j22]Makoto Yamada, Leonid Sigal, Michalis Raptis:
Covariate Shift Adaptation for Discriminative 3D Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 235-247 (2014) - [j21]Md. Nooruzzaman, Halima Elbiaze, Raja Zahilah, Osanori Koyama, Makoto Yamada:
Design and performance evaluation of amplifier modules in stackable ROADMs for low-cost CWDM access networks. Photonic Netw. Commun. 28(3): 237-250 (2014) - [c37]Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu:
Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. ICDM 2014: 749-754 - [c36]Makoto Yamada, Hirotaka Ono, K. Ohta, S. Aozasa, T. Tanaka, K. Senda, Y. Maeda, Osanori Koyama, J. Ono:
1.7 µm band optical fiber amplifier. OFC 2014: 1-3 - [c35]Nguyen Ngoc Mai Khanh, Tetsuya Iizuka, Akihiko Sasaki, Makoto Yamada, Osamu Morita, Kunihiro Asada:
High-resolution measurement of magnetic field generated from cryptographic LSIs. SAS 2014: 111-114 - [i7]Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang:
N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. CoRR abs/1411.2331 (2014) - [i6]Tomoharu Iwata, Makoto Yamada:
Multi-view Anomaly Detection via Probabilistic Latent Variable Models. CoRR abs/1411.3413 (2014) - [i5]Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang:
Consistent Collective Matrix Completion under Joint Low Rank Structure. CoRR abs/1412.2113 (2014) - 2013
- [j20]Makoto Yamada, Gordon Wichern, Kazunobu Kondo, Masashi Sugiyama
, Hiroshi Sawada:
Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis. Digit. Signal Process. 23(1): 1-8 (2013) - [j19]Osanori Koyama, Hikaru Sumiana, Yoshikazu Toyooka, Makoto Yamada:
High temperature detection inside large-scale plants using distributed sensor fabricated by 10 LPG resonant wavelengths multiplexing. IEICE Electron. Express 10(18): 20130586 (2013) - [j18]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. J. Comput. Sci. Eng. 7(2): 99-111 (2013) - [j17]Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama
:
Relative Density-Ratio Estimation for Robust Distribution Comparison. Neural Comput. 25(5): 1324-1370 (2013) - [j16]Song Liu, Makoto Yamada, Nigel Collier
, Masashi Sugiyama
:
Change-point detection in time-series data by relative density-ratio estimation. Neural Networks 43: 72-83 (2013) - [j15]Md. Nooruzzaman, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama:
Stackable ROADMs for minimizing lightpath interference during upgrade of in-service WDM networks. Photonic Netw. Commun. 26(1): 13-24 (2013) - [c34]Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata:
Clustering-based anomaly detection in multi-view data. CIKM 2013: 1545-1548 - [c33]Makoto Yamada, Akisato Kimura, Futoshi Naya, Hiroshi Sawada:
Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. IJCAI 2013: 1827-1833 - [c32]Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura:
Exploiting socially-generated side information in dimensionality reduction. SAM@ACM Multimedia 2013: 9-12 - [c31]Akisato Kimura, Katsuhiko Ishiguro, Makoto Yamada, Alejandro Marcos Alvarez, Kaori Kataoka, Kazuhiko Murasaki:
Image context discovery from socially curated contents. ACM Multimedia 2013: 565-568 - [c30]Makoto Yamada, Hirotaka Ono, Norihiko Sakai, Katsuhiro Takenaga, Shoichiro Matsuo:
Theoretical study of crosstalk characteristics for multi-core optical fiber amplifiers. OFC/NFOEC 2013: 1-3 - 2012
- [j14]Osanori Koyama, Ryou Sougen, Keisuke Ikushima, Makoto Yamada, Yutaka Katsuyama:
Optical Fan-Out Adapter for Compact Packaging of Components by a Jacket Removing System with a CO2 Laser. IEICE Trans. Commun. 95-B(1): 143-151 (2012) - [j13]Makoto Yamada, Akisumi Tomoe, Takahiro Kinoshita, Osanori Koyama, Yutaka Katsuyama, Takashi Shibuya:
Heating and Burning of Optical Fibers and Cables by Light Scattered from Bubble Train Formed by Optical Fiber Fuse. IEICE Trans. Commun. 95-B(8): 2638-2641 (2012) - [j12]Masashi Sugiyama
, Makoto Yamada:
On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion. IEICE Trans. Inf. Syst. 95-D(10): 2564-2567 (2012) - [j11]Makoto Yamada, Masaharu Uno, Hirotaka Ono:
C- and L-Band Parallel Configuration Optical Fiber Amplifier Employing Bundled Er3+-Doped Fiber. IEICE Trans. Commun. 95-B(10): 3294-3297 (2012) - [c29]