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Shuichi Kurogi
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2020 – today
- 2023
- [j7]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): 15585-15595 (2023) - 2021
- [c49]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: 220-230 - 2020
- [c48]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: 713-722 - [c47]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: 778-787
2010 – 2019
- 2019
- [c46]Hironobu Nakayama, Kazuya Matsuo, Shuichi Kurogi:
Stability Analysis of Multiobjective Robust Controller Employing Switching of Competitive Associative Nets. ICONIP (5) 2019: 365-375 - 2018
- [j6]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): 341-349 (2018) - [c45]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: 14-23 - [c44]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: 430-440 - 2017
- [c43]Shuichi Kurogi, Naoto Shimoda, Kazuya Matsuo:
Hierarchical clustering of ensemble prediction using LOOCV predictable horizon for chaotic time series. SSCI 2017: 1-7 - [c42]Toshiki Nishi, Shuichi Kurogi, Kazuya Matsuo:
Grading fruits and vegetables using RGB-D images and convolutional neural network. SSCI 2017: 1-6 - 2016
- [j5]Shinji Oomori, Takeshi Nishida, Shuichi Kurogi:
Point cloud matching using singular value decomposition. Artif. Life Robotics 21(2): 149-154 (2016) - [c41]Daishiro Akiyama, Kazuya Matsuo, Shuichi Kurogi:
Entropy Maximization of Occupancy Grid Map for Selecting Good Registration of SLAM Algorithms. ICONIP (1) 2016: 158-167 - [c40]Koki Sakata, Shota Sakashita, Kazuya Matsuo, Shuichi Kurogi:
Speaker Detection in Audio Stream via Probabilistic Prediction Using Generalized GEBI. ICONIP (4) 2016: 302-311 - [c39]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: 312-320 - [c38]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: 590-598 - 2015
- [c37]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: 72-81 - [c36]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: 216-225 - 2014
- [c35]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: 35-43 - [c34]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: 58-67 - [c33]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: 160-169 - [c32]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: 421-428 - 2013
- [c31]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: 184-192 - [c30]Weicheng Huang, Shuichi Kurogi, Takeshi Nishida:
Performance Improvement via Bagging Competitive Associative Nets for Multiobjective Robust Controller Using Difference Signals. ICONIP (1) 2013: 319-327 - [c29]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: 557-565 - 2012
- [c28]Weicheng Huang, Shuichi Kurogi, Takeshi Nishida:
Robust Controller for Flexible Specifications Using Difference Signals and Competitive Associative Nets. ICONIP (5) 2012: 50-58 - [c27]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: 59-66 - [c26]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: 247-255 - 2011
- [c25]Shuichi Kurogi, Hiroshi Yuno, Takeshi Nishida, Weicheng Huang:
Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets. ICONIP (3) 2011: 9-17 - [c24]Shuichi Kurogi, Shota Mineishi, Tomohiro Tsukazaki, Takeshi Nishida:
Naive Bayesian Multistep Speaker Recognition Using Competitive Associative Nets. ICONIP (1) 2011: 70-78 - [c23]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: 621-628 - 2010
- [j4]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) - [c22]Shuichi Kurogi, Tomokazu Nagi, Takeshi Nishida:
Range Image Registration Using Particle Filter and Competitive Associative Nets. ICONIP (2) 2010: 352-359 - [c21]Shuichi Kurogi, Shota Mineishi, Seitaro Sato:
An Analysis of Speaker Recognition Using Bagging CAN2 and Pole Distribution of Speech Signals. ICONIP (1) 2010: 363-370
2000 – 2009
- 2009
- [c20]Takeshi Nishida, Wataru Kogushi, Natsuki Takagi, Shuichi Kurogi:
Dynamic state estimation using particle filter and adaptive vector quantizer. CIRA 2009: 429-434 - [c19]Shuichi Kurogi, Hideaki Koya, Ryoji Nagashima, Daisuke Wakeyama, Takeshi Nishida:
Range image registration using plane extraction by the CAN2. CIRA 2009: 546-550 - [c18]Shuichi Kurogi, Kenta Harashima:
Improving generalization performance of bagging ensemble via Bayesian approach. CIRA 2009: 557-561 - [c17]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: 56-64 - [c16]Shuichi Kurogi, Seitaro Sato, Kota Ichimaru:
Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2. ICONIP (1) 2009: 622-629 - 2008
- [c15]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: 2321-2326 - [c14]Shuichi Kurogi, Daisuke Wakeyama, Hideaki Koya, Shota Okada, Shingo Inoue, Takeshi Nishida:
Application of CAN2 to plane extraction from 3D range images. IJCNN 2008: 2327-2332 - 2007
- [j3]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): 2354-2362 (2007) - [j2]Shuichi Kurogi:
Asymptotic optimality of competitive associative nets and its application to incremental learning of nonlinear functions. Syst. Comput. Jpn. 38(9): 85-96 (2007) - [c13]Shuichi Kurogi, Naoko Nedachi, Yuki Funatsu:
Reproduction and Recognition of Vowel Signals Using Single and Bagging Competitive Associative Nets. ICONIP (2) 2007: 40-49 - [c12]Shuichi Kurogi, Ryohei Koyama, Shinya Tanaka, Toshihisa Sanuki:
Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets. IJCNN 2007: 166-171 - [c11]Takeshi Nishida, Shuichi Kurogi, Yuji Takemura, Hirohito Fukumoto, Shota Okada:
Range Data Approximation for Mobile Robot by Using CAN2. IJCNN 2007: 2015-2019 - 2006
- [c10]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: 563-571 - [c9]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: 698-707 - [c8]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: 5362-5366 - 2005
- [c7]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: 100-105 - [c6]Shuichi Kurogi, Miho Sawa, Shinya Tanaka:
Competitive Associative Nets and Cross-Validation for Estimating Predictive Uncertainty on Regression Problems. MLCW 2005: 78-94 - 2004
- [c5]Shuichi Kurogi, Takasama Ueno, Miho Sawa:
Batch learning competitive associative net and its application to time series prediction. IJCNN 2004: 1591-1596
1990 – 1999
- 1998
- [c4]Shuichi Kurogi, Akira Ikushima, Shougang Ren:
Neuro-controllers Using Competitive Associative Nets Requiring Neither Parameterization of Plants Nor Special Training. ICONIP 1998: 679-682 - [c3]Shuichi Kurogi, T. Sakamoto, Shougang Ren:
An Analysis of Competitive Associative Nets. ICONIP 1998: 683-686 - [c2]Shuichi Kurogi, Takeshi Nishida, Shougang Ren:
Recognition of Hand-Written Characters by a Multi-Layered Competitive Net. ICONIP 1998: 1086-1089 - 1991
- [j1]Jianqiang Yi, Shuichi Kurogi, Kiyotoshi Matsuoka:
Back-propagation learning of neural networks for translation invariant pattern recognition. Syst. Comput. Jpn. 22(14): 80-89 (1991)
1980 – 1989
- 1988
- [c1]Shuichi Kurogi:
Abilities and limitations of a neural network model for spoken work recognition. ICNN 1988: 205-214
Coauthor Index
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