# Yu Nishiyama

According to our database

Collaborative distances:

^{1}, Yu Nishiyama authored at least 25 papers between 2006 and 2020.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2020

Model-based kernel sum rule: kernel Bayesian inference with probabilistic models.

Mach. Learn., 2020

2019

Development of bed-type ultrasound diagnosis and therapeutic robot.

Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

Deep learning based 3-dimensional liver motion estimation using 2-dimensional ultrasound images.

Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

Lesion tracking method using CNN for non-invasive ultrasound theranostic system.

Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

2018

Short-Term Wind-Speed Forecasting Using Kernel Spectral Hidden Markov Models.

CoRR, 2018

Method for Extracting Acoustic Shadows to Construct an Organ Composite Model in Ultrasound Images.

Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

Out-of-Plane Motion Detection System Using Convolutional Neural Network for US-guided Radiofrequency Ablation Therapy.

Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

Automatic fascia extraction and classification for measurement of muscle layer thickness.

Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

2017

A study for tracking focal lesions in non-invasive ultrasound theragnostic system.

Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017

An automatic templates selection method for ultrasound guided tumor tracking.

Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017

Efficient PSO-based algorithm for parameter estimation of McKibben PAM model.

Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Parameter extraction for identifying product type of mckibben pneumatic artificial muscles.

Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Development of portable ultrasound guided physiological motion compensation device.

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2017

2016

Filtering with State-Observation Examples via Kernel Monte Carlo Filter.

Neural Computation, 2016

Characteristic Kernels and Infinitely Divisible Distributions.

J. Mach. Learn. Res., 2016

The Nonparametric Kernel Bayes Smoother.

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Constraint-Based Learning Bayesian Networks Using Bayes Factor.

Proceedings of the Advanced Methodologies for Bayesian Networks, 2015

2014

Monte Carlo Filtering Using Kernel Embedding of Distributions.

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012

A Family of CCCP Algorithms Which Minimize the TRW Free Energy.

New Gener. Comput., 2012

Hilbert Space Embeddings of POMDPs.

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2009

Accuracy of Loopy belief propagation in Gaussian models.

Neural Networks, 2009

2008

Generalization of Concave and Convex Decomposition in Kikuchi Free Energy.

Proceedings of the Artificial Neural Networks, 2008

On the Minima of Bethe Free Energy in Gaussian Distributions.

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007

Theoretical Analysis of Accuracy of Gaussian Belief Propagation.

Proceedings of the Artificial Neural Networks, 2007

2006

Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines.

Proceedings of the Neural Information Processing, 13th International Conference, 2006