Shuichi Kurogi

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 15

Top Topics

Chaotic Time Series

Linear Predictive Coding

Top Venues

Publications

Toshiki Tagomori, Ryosuke Tsuruda, Kazuya Matsuo, Shuichi Kurogi
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. 14 (12) (2023)
Haruki Shigeta, Kodai Komatsu, Shun Oyabu, Kazuya Matsuo, Shuichi Kurogi
Analysis of Performance Improvement for Speaker Verification by Combining Feature Vectors of LPC Spectral Envelope, MFCC and pLPC Pole Distribution. ISDA (2021)
Daichi Miyazaki, Kazuya Matsuo, Shuichi Kurogi
Entropy of LOO Predictable Horizons to Select a Learning Machine and a Representative Prediction of Chaotic Time Series. ICONIP (5) (2020)
Hironobu Nakayama, Ko Ogi, Kazuya Matsuo, Shuichi Kurogi
Composition and Analysis of Pareto Optimal Compromise Solutions for Multiobjective Robust Controller Using GPC and CAN2s. ICONIP (5) (2020)
Hironobu Nakayama, Kazuya Matsuo, Shuichi Kurogi
Stability Analysis of Multiobjective Robust Controller Employing Switching of Competitive Associative Nets. ICONIP (5) (2019)
Shuichi Kurogi, Mitsuki Toidani, Ryosuke Shigematsu, Kazuya Matsuo
Performance improvement via bagging in probabilistic prediction of chaotic time series using similarity of attractors and LOOCV predictable horizon. Neural Comput. Appl. 29 (9) (2018)
Shoya Matsuzaki, Kazuya Matsuo, Shuichi Kurogi
Analysis and Application of Step Size of RK4 for Performance Measure of Predictability Horizon of Chaotic Time Series. ICONIP (6) (2018)
Toshiki Tagomori, Kazuya Matsuo, Shuichi Kurogi
Text-Independent Speaker Verification from Mixed Speech of Multiple Speakers via Using Pole Distribution of Speech Signals. ICONIP (6) (2018)
Shuichi Kurogi, Naoto Shimoda, Kazuya Matsuo
Hierarchical clustering of ensemble prediction using LOOCV predictable horizon for chaotic time series. SSCI (2017)
Toshiki Nishi, Shuichi Kurogi, Kazuya Matsuo
Grading fruits and vegetables using RGB-D images and convolutional neural network. SSCI (2017)
Shota Sakashita, Satoshi Takeguchi, Kazuya Matsuo, Shuichi Kurogi
Probabilistic Prediction for Text-Prompted Speaker Verification Capable of Accepting Spoken Words with the Same Meaning but Different Pronunciations. ICONIP (4) (2016)
Shinji Oomori, Takeshi Nishida, Shuichi Kurogi
Point cloud matching using singular value decomposition. Artif. Life Robotics 21 (2) (2016)
Daishiro Akiyama, Kazuya Matsuo, Shuichi Kurogi
Entropy Maximization of Occupancy Grid Map for Selecting Good Registration of SLAM Algorithms. ICONIP (1) (2016)
Koki Sakata, Shota Sakashita, Kazuya Matsuo, Shuichi Kurogi
Speaker Detection in Audio Stream via Probabilistic Prediction Using Generalized GEBI. ICONIP (4) (2016)
Mitsuki Toidani, Kazuya Matsuo, Shuichi Kurogi
Performance Improvement via Bagging in Ensemble Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizon. ICONIP (4) (2016)
Shuichi Kurogi, Mitsuki Toidani, Ryosuke Shigematsu, Kazuya Matsuo
Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizons for Obtaining Plausible Predictions. ICONIP (3) (2015)
Shuichi Kurogi, Shota Sakashita, Satoshi Takeguchi, Takuya Ueki, Kazuya Matsuo
Probabilistic Prediction in Multiclass Classification Derived for Flexible Text-Prompted Speaker Verification. ICONIP (1) (2015)
Shuichi Kurogi, Yoichiro Yamashita, Hikaru Yoshikawa, Kotaro Hirayama
Accuracy Improvement of Localization and Mapping of ICP-SLAM via Competitive Associative Nets and Leave-One-Out Cross-Validation. ICONIP (2) (2014)
Shuichi Kurogi, Ryosuke Shigematsu, Kohei Ono
Properties of Direct Multi-Step Ahead Prediction of Chaotic Time Series and Out-of-Bag Estimate for Model Selection. ICONIP (2) (2014)
Weicheng Huang, Yuki Ishiguma, Shuichi Kurogi
Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems. ICONIP (3) (2014)
Shuichi Kurogi, Takuya Ueki, Satoshi Takeguchi, Yuta Mizobe
Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers. ICONIP (2) (2014)
Shuichi Kurogi, Kohei Ono, Takeshi Nishida
Experimental Analysis of Moments of Predictive Deviations as Ensemble Diversity Measures for Model Selection in Time Series Prediction. ICONIP (3) (2013)
Shuichi Kurogi, Takuya Ueki, Yuta Mizobe, Takeshi Nishida
Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Reducing Verification Errors. ICONIP (3) (2013)
Weicheng Huang, Shuichi Kurogi, Takeshi Nishida
Performance Improvement via Bagging Competitive Associative Nets for Multiobjective Robust Controller Using Difference Signals. ICONIP (1) (2013)
Yuta Mizobe, Shuichi Kurogi, Tomohiro Tsukazaki, Takeshi Nishida
Multistep Speaker Identification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speaker. ICONIP (5) (2012)
Weicheng Huang, Shuichi Kurogi, Takeshi Nishida
Robust Controller for Flexible Specifications Using Difference Signals and Competitive Associative Nets. ICONIP (5) (2012)
Kohei Ono, Shuichi Kurogi, Takeshi Nishida
Moments of Predictive Deviations for Ensemble Diversity Measures to Estimate the Performance of Time Series Prediction. ICONIP (5) (2012)
Shuichi Kurogi, Shota Mineishi, Tomohiro Tsukazaki, Takeshi Nishida
Naive Bayesian Multistep Speaker Recognition Using Competitive Associative Nets. ICONIP (1) (2011)
Shuichi Kurogi, Hiroshi Yuno, Takeshi Nishida, Weicheng Huang
Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets. ICONIP (3) (2011)
Shuichi Kurogi, Tomokazu Nagi, Shoichi Yoshinaga, Hideaki Koya, Takeshi Nishida
Multiview Range Image Registration Using Competitive Associative Net and Leave-One-Image-Out Cross-Validation Error. ICONIP (3) (2011)
Shuichi Kurogi, Shota Mineishi, Seitaro Sato
An Analysis of Speaker Recognition Using Bagging CAN2 and Pole Distribution of Speech Signals. ICONIP (1) (2010)
Shuichi Kurogi, Kenta Harashima, Nozomi Shibata
An Analysis of Bayesian Bagging Prediction for Improving Generalization Performance. Aust. J. Intell. Inf. Process. Syst. 12 (1) (2010)
Shuichi Kurogi, Tomokazu Nagi, Takeshi Nishida
Range Image Registration Using Particle Filter and Competitive Associative Nets. ICONIP (2) (2010)
Shuichi Kurogi, Seitaro Sato, Kota Ichimaru
Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2. ICONIP (1) (2009)
Shuichi Kurogi, Hideaki Koya, Ryoji Nagashima, Daisuke Wakeyama, Takeshi Nishida
Range image registration using plane extraction by the CAN2. CIRA (2009)
Shuichi Kurogi, Kenta Harashima
Improving generalization performance of bagging ensemble via Bayesian approach. CIRA (2009)
Shuichi Kurogi, Hiroshi Yuno, Yohei Koshiyama
A Method to Switch Multiple CAN2s for Variable Initial Temperature in Temperature Control of RCA Cleaning Solutions. ICONIP (2) (2009)
Takeshi Nishida, Wataru Kogushi, Natsuki Takagi, Shuichi Kurogi
Dynamic state estimation using particle filter and adaptive vector quantizer. CIRA (2009)
Shuichi Kurogi, Yohei Koshiyama, Daisuke Kuwahara, Takeshi Nishida, Mitsuru Mimata, Katsuyoshi Itoh
Model switching predictive control using bagging CAN2 and first-difference signals for temperature control of RCA cleaning solutions. IJCNN (2008)
Shuichi Kurogi, Daisuke Wakeyama, Hideaki Koya, Shota Okada, Shingo Inoue, Takeshi Nishida
Application of CAN2 to plane extraction from 3D range images. IJCNN (2008)
Shuichi Kurogi, Ryohei Koyama, Shinya Tanaka, Toshihisa Sanuki
Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets. IJCNN (2007)
Shuichi Kurogi
Asymptotic optimality of competitive associative nets and its application to incremental learning of nonlinear functions. Systems and Computers in Japan 38 (9) (2007)
Takeshi Nishida, Shuichi Kurogi, Yuji Takemura, Hirohito Fukumoto, Shota Okada
Range Data Approximation for Mobile Robot by Using CAN2. IJCNN (2007)
Shuichi Kurogi, Miho Sawa, Takamasa Ueno
Time series prediction of the CATS benchmark using Fourier bandpass filters and competitive associative nets. Neurocomputing 70 (13-15) (2007)
Shuichi Kurogi, Naoko Nedachi, Yuki Funatsu
Reproduction and Recognition of Vowel Signals Using Single and Bagging Competitive Associative Nets. ICONIP (2) (2007)
Shuichi Kurogi, Shinya Tanaka, Ryohei Koyama, Takeshi Nishida
Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units. ICONIP (1) (2006)
Shuichi Kurogi, Daisuke Kuwahara, Hiroaki Tomisaki, Takeshi Nishida, Mitsuru Mimata, Katsuyoshi Itoh
Ensemble of Competitive Associative Nets for Stable Learning Performance in Temperature Control of RCA Cleaning Solutions. ICONIP (3) (2006)
Shuichi Kurogi, Daisuke Kuwahara, Shinya Tanaka
Ensemble of Competitive Associative Nets and Multiple K-fold Cross-Validation for Estimating Predictive Uncertainty in Environmental Modelling. IJCNN (2006)
Yasuhiro Fuchikawa, Takeshi Nishida, Shuichi Kurogi, Takashi Kondo, Fujio Ohkawa, Toshinori Suehiro, Yasuhiro Watanabe, Yoshinori Kawamura, Masayuki Obata, Hidekazu Miyagawa, Yoshimitsu Kihara
Development of a Vision System for an Outdoor Service Robot to Collect Trash on Streets. Computer Graphics and Imaging (2005)
Shuichi Kurogi, Miho Sawa, Shinya Tanaka
Competitive Associative Nets and Cross-Validation for Estimating Predictive Uncertainty on Regression Problems. MLCW (2005)
Shuichi Kurogi, T. Sakamoto, Shougang Ren
An Analysis of Competitive Associative Nets. ICONIP (1998)
Shuichi Kurogi, Takeshi Nishida, Shougang Ren
Recognition of Hand-Written Characters by a Multi-Layered Competitive Net. ICONIP (1998)
Shuichi Kurogi, Akira Ikushima, Shougang Ren
Neuro-controllers Using Competitive Associative Nets Requiring Neither Parameterization of Plants Nor Special Training. ICONIP (1998)
Jianqiang Yi, Shuichi Kurogi, Kiyotoshi Matsuoka
Back-propagation learning of neural networks for translation invariant pattern recognition. Systems and Computers in Japan 22 (14) (1991)
Shuichi Kurogi
Abilities and limitations of a neural network model for spoken work recognition. ICNN (1988)