Shuichi Kurogi

Orcid: 0000-0003-1800-4600

According to our database1, Shuichi Kurogi authored at least 55 papers between 1988 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Speaker verification from mixture of speech and non-speech audio signals via using pole distribution of piecewise linear predictive coding coefficients.
J. Ambient Intell. Humaniz. Comput., December, 2023

2021
Analysis of Performance Improvement for Speaker Verification by Combining Feature Vectors of LPC Spectral Envelope, MFCC and pLPC Pole Distribution.
Proceedings of the Intelligent Systems Design and Applications, 2021

2020
Composition and Analysis of Pareto Optimal Compromise Solutions for Multiobjective Robust Controller Using GPC and CAN2s.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Entropy of LOO Predictable Horizons to Select a Learning Machine and a Representative Prediction of Chaotic Time Series.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Stability Analysis of Multiobjective Robust Controller Employing Switching of Competitive Associative Nets.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Performance improvement via bagging in probabilistic prediction of chaotic time series using similarity of attractors and LOOCV predictable horizon.
Neural Comput. Appl., 2018

Text-Independent Speaker Verification from Mixed Speech of Multiple Speakers via Using Pole Distribution of Speech Signals.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Analysis and Application of Step Size of RK4 for Performance Measure of Predictability Horizon of Chaotic Time Series.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Grading fruits and vegetables using RGB-D images and convolutional neural network.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Hierarchical clustering of ensemble prediction using LOOCV predictable horizon for chaotic time series.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Point cloud matching using singular value decomposition.
Artif. Life Robotics, 2016

Performance Improvement via Bagging in Ensemble Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizon.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Speaker Detection in Audio Stream via Probabilistic Prediction Using Generalized GEBI.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Probabilistic Prediction for Text-Prompted Speaker Verification Capable of Accepting Spoken Words with the Same Meaning but Different Pronunciations.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Entropy Maximization of Occupancy Grid Map for Selecting Good Registration of SLAM Algorithms.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizons for Obtaining Plausible Predictions.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Probabilistic Prediction in Multiclass Classification Derived for Flexible Text-Prompted Speaker Verification.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Accuracy Improvement of Localization and Mapping of ICP-SLAM via Competitive Associative Nets and Leave-One-Out Cross-Validation.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Properties of Direct Multi-Step Ahead Prediction of Chaotic Time Series and Out-of-Bag Estimate for Model Selection.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Reducing Verification Errors.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Experimental Analysis of Moments of Predictive Deviations as Ensemble Diversity Measures for Model Selection in Time Series Prediction.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Performance Improvement via Bagging Competitive Associative Nets for Multiobjective Robust Controller Using Difference Signals.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Moments of Predictive Deviations for Ensemble Diversity Measures to Estimate the Performance of Time Series Prediction.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Multistep Speaker Identification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speaker.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Robust Controller for Flexible Specifications Using Difference Signals and Competitive Associative Nets.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Multiview Range Image Registration Using Competitive Associative Net and Leave-One-Image-Out Cross-Validation Error.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Naive Bayesian Multistep Speaker Recognition Using Competitive Associative Nets.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
An Analysis of Bayesian Bagging Prediction for Improving Generalization Performance.
Aust. J. Intell. Inf. Process. Syst., 2010

Range Image Registration Using Particle Filter and Competitive Associative Nets.
Proceedings of the Neural Information Processing. Models and Applications, 2010

An Analysis of Speaker Recognition Using Bagging CAN2 and Pole Distribution of Speech Signals.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2009
A Method to Switch Multiple CAN2s for Variable Initial Temperature in Temperature Control of RCA Cleaning Solutions.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Dynamic state estimation using particle filter and adaptive vector quantizer.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009

Range image registration using plane extraction by the CAN2.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009

Improving generalization performance of bagging ensemble via Bayesian approach.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009

2008
Application of CAN2 to plane extraction from 3D range images.
Proceedings of the International Joint Conference on Neural Networks, 2008

Model switching predictive control using bagging CAN2 and first-difference signals for temperature control of RCA cleaning solutions.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Asymptotic optimality of competitive associative nets and its application to incremental learning of nonlinear functions.
Syst. Comput. Jpn., 2007

Time series prediction of the CATS benchmark using Fourier bandpass filters and competitive associative nets.
Neurocomputing, 2007

Range Data Approximation for Mobile Robot by Using CAN2.
Proceedings of the International Joint Conference on Neural Networks, 2007

Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets.
Proceedings of the International Joint Conference on Neural Networks, 2007

Reproduction and Recognition of Vowel Signals Using Single and Bagging Competitive Associative Nets.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Ensemble of Competitive Associative Nets and Multiple K-fold Cross-Validation for Estimating Predictive Uncertainty in Environmental Modelling.
Proceedings of the International Joint Conference on Neural Networks, 2006

Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Ensemble of Competitive Associative Nets for Stable Learning Performance in Temperature Control of RCA Cleaning Solutions.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Competitive Associative Nets and Cross-Validation for Estimating Predictive Uncertainty on Regression Problems.
Proceedings of the Machine Learning Challenges, 2005

Development of a Vision System for an Outdoor Service Robot to Collect Trash on Streets.
Proceedings of the Eighth IASTED International Conference on Computer Graphics and Imaging, 2005

1998
An Analysis of Competitive Associative Nets.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Recognition of Hand-Written Characters by a Multi-Layered Competitive Net.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Neuro-controllers Using Competitive Associative Nets Requiring Neither Parameterization of Plants Nor Special Training.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1991
Back-propagation learning of neural networks for translation invariant pattern recognition.
Syst. Comput. Jpn., 1991

1988
Abilities and limitations of a neural network model for spoken work recognition.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988


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