Makoto Yamada

Orcid: 0000-0001-7508-5094

According to our database1, Makoto Yamada authored at least 184 papers between 1988 and 2024.

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Bibliography

2024
Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study.
CoRR, 2024

Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport.
CoRR, 2024

Polyak Meets Parameter-free Clipped Gradient Descent.
CoRR, 2024

PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis.
CoRR, 2024

Data Poisoning for In-context Learning.
CoRR, 2024

Implicit neural representation for change detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Structural Fairness-aware Active Learning for Graph Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fast 1-Wasserstein distance approximations using greedy strategies.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Inflating 2D convolution weights for efficient generation of 3D medical images.
Comput. Methods Programs Biomed., October, 2023

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., July, 2023

Communication Compression for Decentralized Learning With Operator Splitting Methods.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data.
Trans. Mach. Learn. Res., 2023

An Empirical Study of Simplicial Representation Learning with Wasserstein Distance.
CoRR, 2023

Embarrassingly Simple Text Watermarks.
CoRR, 2023

Confidence-driven Sampling for Backdoor Attacks.
CoRR, 2023

Necessary and Sufficient Watermark for Large Language Models.
CoRR, 2023

Structural Explanations for Graph Neural Networks using HSIC.
CoRR, 2023

Features and Properties of Single-Pixel Imaging Using Speckle Patterns Generated by Multi-Core Fiber.
IEEE Access, 2023

Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FsNet: Feature Selection Network on High-dimensional Biological Data.
Proceedings of the International Joint Conference on Neural Networks, 2023

Optimal Transport for Change Detection on Lidar Point Clouds.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Robust Graph Dictionary Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

A linear time approximation of Wasserstein distance with word embedding selection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Large-scale similarity search with Optimal Transport.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Nyström Method for Accurate and Scalable Implicit Differentiation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Approximating 1-Wasserstein Distance with Trees.
Trans. Mach. Learn. Res., 2022

Constant Time Graph Neural Networks.
ACM Trans. Knowl. Discov. Data, 2022

Poincare: Recommending Publication Venues via Treatment Effect Estimation.
J. Informetrics, 2022

Scale dependant layer for self-supervised nuclei encoding.
CoRR, 2022

Theoretical Analysis of Primal-Dual Algorithm for Non-Convex Stochastic Decentralized Optimization.
CoRR, 2022

Feature selection for discovering distributional treatment effect modifiers.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Feature-Robust Optimal Transport for High-Dimensional Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Modality estimation methods in internal training reflection texts using BERT.
Proceedings of the 12th International Congress on Advanced Applied Informatics, 2022

Re-evaluating Word Mover's Distance.
Proceedings of the International Conference on Machine Learning, 2022

Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Fixed Support Tree-Sliced Wasserstein Barycenter.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Feature screening with kernel knockoffs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Nys-Curve: Nyström-Approximated Curvature for Stochastic Optimization.
CoRR, 2021

Random Features Strengthen Graph Neural Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Regression with Doubly Non-negative Weighting Matrices.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Supervised Tree-Wasserstein Distance.
Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search.
Proceedings of the 38th International Conference on Machine Learning, 2021

Post-selection inference with HSIC-Lasso.
Proceedings of the 38th International Conference on Machine Learning, 2021

Computationally Efficient Wasserstein Loss for Structured Labels.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

Flow-based Alignment Approaches for Probability Measures in Different Spaces.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Scaled Coupled Norms and Coupled Higher-Order Tensor Completion.
Neural Comput., 2020

Feature Robust Optimal Transport for High-dimensional Data.
CoRR, 2020

Volumization as a Natural Generalization of Weight Decay.
CoRR, 2020

Fast local linear regression with anchor regularization.
CoRR, 2020

Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces.
CoRR, 2020

FsNet: Feature Selection Network on High-dimensional Biological Data.
CoRR, 2020

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.
CoRR, 2020

Neural Methods for Point-wise Dependency Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fast Unbalanced Optimal Transport on a Tree.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Topological Bayesian Optimization with Persistence Diagrams.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Semantic Correspondence as an Optimal Transport Problem.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Sparse Hilbert-Schmidt Independence Criterion Regression.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

More Powerful Selective Kernel Tests for Feature Selection.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Robust Sample-Specific Stability Selection with Effective Error Control.
J. Comput. Biol., 2019

On Scalable Variant of Wasserstein Barycenter.
CoRR, 2019

Computationally Efficient Tree Variants of Gromov-Wasserstein.
CoRR, 2019

LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport.
CoRR, 2019

Learning to Find Hard Instances of Graph Problems.
CoRR, 2019

Tree-Sliced Approximation of Wasserstein Distances.
CoRR, 2019

Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data.
Bioinform., 2019

Effect of Cutting Maneuvers on Center of Foot Pressure Movement in University Tennis Players.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

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, 2019

OpenFlow-based Remote Control of Optical Switch Employing IoT Device in AWG-STAR with Loop-back Function.
Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019

Single-pixel Imaging using a Multi-core Fiber.
Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019

Approximation Ratios of Graph Neural Networks for Combinatorial Problems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Kernel Stein Tests for Multiple Model Comparison.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Tree-Sliced Variants of Wasserstein Distances.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Vision-based Localization using a Monocular Camera in the Rain.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

In-Vehicle Network Intrusion Detection and Explanation Using Density Ratio Estimation.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

OSTNet: Calibration Method for Optical See-Through Head-Mounted Displays via Non-Parametric Distortion Map Generation.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2019

Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator.
Proceedings of the 7th International Conference on Learning Representations, 2019

Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning to Sample Hard Instances for Graph Algorithms.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Optimizing Whole-Page Presentation for Web Search.
ACM Trans. Web, 2018

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.
IEEE Trans. Knowl. Data Eng., 2018

Convex Coupled Matrix and Tensor Completion.
Neural Comput., 2018

Loss peak adjustment of long period fiber grating fabricated with CO<sub>2</sub> laser by applying tension.
IEICE Electron. Express, 2018

"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study.
CoRR, 2018

Riemannian Manifold Kernel for Persistence Diagrams.
CoRR, 2018

A Development of Measurement System for Foot Pressure by Using Optical Force Sensors.
Proceedings of the 2018 World Automation Congress, 2018

A Wearable Measurement System for Sole Pressure to Calculate Center of Pressure in Sports Activity.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Selecting the Best in GANs Family: a Post Selection Inference Framework.
Proceedings of the 6th International Conference on Learning Representations, 2018

Intra-/inter-user adaptation framework for wearable gesture sensing device.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

Learning Unsupervised Word Translations Without Adversaries.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Post Selection Inference with Kernels.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Deep Matching Autoencoders.
CoRR, 2017

Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation.
CoRR, 2017

Convex Factorization Machine for Toxicogenomics Prediction.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Localized Lasso for High-Dimensional Regression.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Lifecycle Modeling for Buzz Temporal Pattern Discovery.
ACM Trans. Knowl. Discov. Data, 2016

High Efficiency Machining for Integral Shaping from Simplicity Materials Using Five-Axis Machine Tools.
Int. J. Autom. Technol., 2016

Sparse Network Lasso for Local High-dimensional Regression.
CoRR, 2016

Beyond Ranking: Optimizing Whole-Page Presentation.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Space-time coding-assisted transmission for mitigation of MDL impact on mode-division multiplexed signals.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

32-core Dense SDM unidirectional transmission of PDM-16QAM signals over 1600 km using crosstalk-managed single-mode heterogeneous multicore transmission line.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Robust Convex Formulation for Ensemble Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Timeline Summarization from Social Media with Life Cycle Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Which Tumblr Post Should I Read Next?
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
A Near-Field Magnetic Sensing System With High-Spatial Resolution and Application for Security of Cryptographic LSIs.
IEEE Trans. Instrum. Meas., 2015

Cross-Domain Matching with Squared-Loss Mutual Information.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Convex Factorization Machine for Regression.
CoRR, 2015

Consistent Collective Matrix Completion under Joint Low Rank Structure.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Design and performance evaluation of amplifier modules in stackable ROADMs for low-cost CWDM access networks.
Photonic Netw. Commun., 2014

Covariate Shift Adaptation for Discriminative 3D Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso.
Neural Comput., 2014

Information-Maximization Clustering Based on Squared-Loss Mutual Information.
Neural Comput., 2014

Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization.
Neural Comput., 2014

Least-squares independence regression for non-linear causal inference under non-Gaussian noise.
Mach. Learn., 2014

Domain Adaptation for Structured Regression.
Int. J. Comput. Vis., 2014

N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data.
CoRR, 2014

Multi-view Anomaly Detection via Probabilistic Latent Variable Models.
CoRR, 2014

High-resolution measurement of magnetic field generated from cryptographic LSIs.
Proceedings of the IEEE Sensors Applications Symposium, 2014

1.7 µm band optical fiber amplifier.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2014

Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

120.7-Tb/s (7 SDM/180 WDM/95.8 Gb/s) MCF-ROPA un epeatered transmission of PDM-32QAM channels over 204 km.
Proceedings of the European Conference on Optical Communication, 2014

2013
Stackable ROADMs for minimizing lightpath interference during upgrade of in-service WDM networks.
Photonic Netw. Commun., 2013

Change-point detection in time-series data by relative density-ratio estimation.
Neural Networks, 2013

Relative Density-Ratio Estimation for Robust Distribution Comparison.
Neural Comput., 2013

Scalable Single-Fiber CWDM Ring Networks With Stackable ROADMs.
JOCN, 2013

Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning.
J. Comput. Sci. Eng., 2013

High temperature detection inside large-scale plants using distributed sensor fabricated by 10 LPG resonant wavelengths multiplexing.
IEICE Electron. Express, 2013

Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis.
Digit. Signal Process., 2013

Theoretical study of crosstalk characteristics for multi-core optical fiber amplifiers.
Proceedings of the 2013 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC), 2013

Image context discovery from socially curated contents.
Proceedings of the ACM Multimedia Conference, 2013

Exploiting socially-generated side information in dimensionality reduction.
Proceedings of the 2nd international workshop on Socially-aware multimedia, 2013

Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data.
Proceedings of the IJCAI 2013, 2013

Clustering-based anomaly detection in multi-view data.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
C- and L-Band Parallel Configuration Optical Fiber Amplifier Employing Bundled Er<sup>3+</sup>-Doped Fiber.
IEICE Trans. Commun., 2012

Heating and Burning of Optical Fibers and Cables by Light Scattered from Bubble Train Formed by Optical Fiber Fuse.
IEICE Trans. Commun., 2012

On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion.
IEICE Trans. Inf. Syst., 2012

Optical Fan-Out Adapter for Compact Packaging of Components by a Jacket Removing System with a CO<sub>2</sub> Laser.
IEICE Trans. Commun., 2012

Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information
CoRR, 2012

High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso
CoRR, 2012

No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search.
Neural Networks, 2011

Cross-Domain Object Matching with Model Selection.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Suffcient Component Analysis.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Improving the Accuracy of Least-Squares Probabilistic Classifiers.
IEICE Trans. Inf. Syst., 2011

Bidirectional Amplification Module for IP-over-CWDM Ring Network.
IEICE Trans. Electron., 2011

Large-Scale Subjective Evaluations of Speech Rate Control Methods for HMM-Based Speech Synthesizers.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution.
Proceedings of the 28th International Conference on Machine Learning, 2011

Automatic audio tag classification via semi-supervised canonical density estimation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Monitored power pre-checking scheme for optical amplification management in lightpath reconfigurable IP-over-CWDM networks.
Proceedings of the IEEE 17th Asia-Pacific Conference on Communications, 2011

Stackable ROADM with optical amplifier for use in IP-over-CWDM networks.
Proceedings of the IEEE 17th Asia-Pacific Conference on Communications, 2011

Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Semi-supervised speaker identification under covariate shift.
Signal Process., 2010

Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers.
IEICE Trans. Inf. Syst., 2010

Optimum Conditions for Fiber Jacket Removing by a CO2 Laser for Compact Packaging of Optical Components.
IEICE Trans. Commun., 2010

Novel Fiber Jacket Removing System by a CO<sub>2</sub> Laser for Compact Packaging of Optical Components.
IEICE Trans. Commun., 2010

Acceleration of sequence kernel computation for real-time speaker identification.
Proceedings of the IEEE International Conference on Acoustics, 2010

Direct importance estimation with probabilistic principal component analyzers.
Proceedings of the IEEE International Conference on Acoustics, 2010

Automatic audio tagging using covariate shift adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2010

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, 2010

2009
Direct Importance Estimation with Gaussian Mixture Models.
IEICE Trans. Inf. Syst., 2009

A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Covariate shift adaptation for semi-supervised speaker identification.
Proceedings of the IEEE International Conference on Acoustics, 2009

2007
Tilted Tool Axis Machining on 5-Axis Machine Tools.
Int. J. Autom. Technol., 2007

2006
Measurement of neuromagnetic fields accompanying movements by patient with acute stroke.
Syst. Comput. Jpn., 2006

Kernel Wiener Filter with Distance Constraint.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A DOA estimation method for 3D multiple source signals using independent component analysis.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Improvement of rejection performance of keyword spotting using anti-keywords derived from large vocabulary considering acoustical similarity to keywords.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Nonlinear Signal Estimation using KernelWiener Filter in Canonical Correlation Analysis Framework.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2002
A Method for Functional Testing of Media Synchronization Protocols.
Proceedings of the Information Networking, 2002

2001
Packet communications with slotted ALOHA in a mobile cellular system.
Proceedings of the 54th IEEE Vehicular Technology Conference, 2001

2000
Acquisition of direct-sequence spread-spectrum signal with parallel matched filters.
Proceedings of the 11th IEEE International Symposium on Personal, 2000

1996
An environment for supporting cooperative operation over multiple networks.
Proceedings of the 1996 Network Operations and Management Symposium, 1996

Development of a mechanotherapy unit for examining the possibility of an intelligent massage robot.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS 1996, 1996

1995
Development of a transfer supporting equipment.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1995

1993
Identification of Lathe Alignment Errors by Measuring Machined Parts.
Proceedings of the Robotics, Mechatronics and Manufacturing Systems, 1993

1988
Cleaning robot control.
Proceedings of the 1988 IEEE International Conference on Robotics and Automation, 1988


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