Toshiaki Omori

According to our database, Toshiaki Omori authored at least 24 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Three-dimensional Super-resolution of X-ray CT Data of Rock Samples by Sparse Representation Learning.

Shoi Suzuki, Atsushi Okamoto, Katsuyoshi Michibayashi, Toshiaki Omori

Proceedings of the ISMSI 2023: Proceedings of the 7th International Conference on Intelligent Systems, 2023

2022

Estimating Distributions of Parameters in Nonlinear State Space Models with Replica Exchange Particle Marginal Metropolis-Hastings Method.

Hiroaki Inoue, Koji Hukushima, Toshiaki Omori

Entropy, 2022

2021

Data-Driven Analysis of Nonlinear Heterogeneous Reactions through Sparse Modeling and Bayesian Statistical Approaches.

Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori

Entropy, 2021

Online Bayesian approach for estimation and control of neural system.

Shuhei Fukami, Toshiaki Omori

Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

2020

Sparse Modeling Approach for Estimating Odor Pleasantness from Multi-dimensional Sensor Data.

Moe Yokoi, Toshiaki Omori

Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020

2019

Estimation of neuronal dynamics based on sparse modeling.

Shinya Otsuka, Toshiaki Omori

Neural Networks, 2019

Eigenvalues of the Laplacian on the Goldberg-Coxeter Constructions for 3- and 4-valent Graphs.

Toshiaki Omori, Hisashi Naito, Tatsuya Tate

Electron. J. Comb., 2019

Sparse Estimation of Neuronal Network Structure with Observed Data.

Ren Masahiro, Toshiaki Omori

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions.

Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Online Estimation and Control of Neuronal Nonlinear Dynamics Based on Data-Driven Statistical Approach.

Shuhei Fukami, Toshiaki Omori

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Harmonic mean similarity based quantum annealing for <i>k</i>-means.

Jo Takano, Toshiaki Omori

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Privacy-Preserving Naive Bayes Classification Using Fully Homomorphic Encryption.

Sangwook Kim, Masahiro Omori, Takuya Hayashi, Toshiaki Omori, Lihua Wang, Seiichi Ozawa

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

A discrete surface theory.

M. Kotani, Hisashi Naito, Toshiaki Omori

Comput. Aided Geom. Des., 2017

Privacy preserving extreme learning machine using additively homomorphic encryption.

Shohei Kuri, Takuya Hayashi, Toshiaki Omori, Seiichi Ozawa, Yoshinori Aono, Le Trieu Phong, Lihua Wang, Shiho Moriai

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

t-Distributed stochastic neighbor embedding spectral clustering.

Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Stochastic collapsed variational Bayesian inference for biterm topic model.

Narutaka Awaya, Jun Kitazono, Toshiaki Omori, Seiichi Ozawa

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom.

Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2014

Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites.

Toshiaki Omori

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

A robust incremental principal component analysis for feature extraction from stream data with missing values.

Daijiro Aoki, Toshiaki Omori, Seiichi Ozawa

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Extracting Latent Dynamics from Multi-dimensional Data by Probabilistic Slow Feature Analysis.

Toshiaki Omori

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2011

Nonlinear Effect on Phase Response Curve of Neuron Model.

Munenori Iida, Toshiaki Omori, Toru Aonishi, Masato Okada

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

Statistical Calibration Method for Physiological Ca2+ Fluorescence Signals.

Takamasa Tsunoda, Yoshiaki Oda, Toshiaki Omori, Masato Okada, Masashi Inoue, Hiroyoshi Miyakawa, Toru Aonishi

Aust. J. Intell. Inf. Process. Syst., 2010

2009

MAP estimation algorithm for phase response curves based on analysis of the observation process.

Keisuke Ota, Toshiaki Omori, Toru Aonishi

J. Comput. Neurosci., 2009

2008

Statistical mechanics of lossy compression for non-monotonic multilayer perceptrons

Florent Cousseau, Kazushi Mimura, Toshiaki Omori, Masato Okada

CoRR, 2008