Shuichi Kurogi

56 papers B 9C 1Journal 7Unranked 39

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	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. Toshiki Tagomori, Ryosuke Tsuruda, Kazuya Matsuo, Shuichi Kurogi
2021	C	`conf`	Analysis of Performance Improvement for Speaker Verification by Combining Feature Vectors of LPC Spectral Envelope, MFCC and pLPC Pole Distribution. ISDA Haruki Shigeta, Kodai Komatsu, Shun Oyabu, Kazuya Matsuo, Shuichi Kurogi
2020	—	`conf`	Composition and Analysis of Pareto Optimal Compromise Solutions for Multiobjective Robust Controller Using GPC and CAN2s. ICONIP (5) Hironobu Nakayama, Ko Ogi, Kazuya Matsuo, Shuichi Kurogi
2020	—	`conf`	Entropy of LOO Predictable Horizons to Select a Learning Machine and a Representative Prediction of Chaotic Time Series. ICONIP (5) Daichi Miyazaki, Kazuya Matsuo, Shuichi Kurogi
2019	—	`conf`	Stability Analysis of Multiobjective Robust Controller Employing Switching of Competitive Associative Nets. ICONIP (5) Hironobu Nakayama, Kazuya Matsuo, Shuichi Kurogi
2018	—	`conf`	Analysis and Application of Step Size of RK4 for Performance Measure of Predictability Horizon of Chaotic Time Series. ICONIP (6) Shoya Matsuzaki, Kazuya Matsuo, Shuichi Kurogi
2018	J	`jnl`	Performance improvement via bagging in probabilistic prediction of chaotic time series using similarity of attractors and LOOCV predictable horizon. Neural Comput. Appl. Shuichi Kurogi, Mitsuki Toidani, Ryosuke Shigematsu, Kazuya Matsuo
2018	—	`conf`	Text-Independent Speaker Verification from Mixed Speech of Multiple Speakers via Using Pole Distribution of Speech Signals. ICONIP (6) Toshiki Tagomori, Kazuya Matsuo, Shuichi Kurogi
2017	—	`conf`	Grading fruits and vegetables using RGB-D images and convolutional neural network. SSCI Toshiki Nishi, Shuichi Kurogi, Kazuya Matsuo
2017	—	`conf`	Hierarchical clustering of ensemble prediction using LOOCV predictable horizon for chaotic time series. SSCI Shuichi Kurogi, Naoto Shimoda, Kazuya Matsuo
2016	—	`conf`	Entropy Maximization of Occupancy Grid Map for Selecting Good Registration of SLAM Algorithms. ICONIP (1) Daishiro Akiyama, Kazuya Matsuo, Shuichi Kurogi
2016	—	`conf`	Performance Improvement via Bagging in Ensemble Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizon. ICONIP (4) Mitsuki Toidani, Kazuya Matsuo, Shuichi Kurogi
2016	J	`jnl`	Point cloud matching using singular value decomposition. Artif. Life Robotics Shinji Oomori, Takeshi Nishida, Shuichi Kurogi
2016	—	`conf`	Probabilistic Prediction for Text-Prompted Speaker Verification Capable of Accepting Spoken Words with the Same Meaning but Different Pronunciations. ICONIP (4) Shota Sakashita, Satoshi Takeguchi, Kazuya Matsuo, Shuichi Kurogi
2016	—	`conf`	Speaker Detection in Audio Stream via Probabilistic Prediction Using Generalized GEBI. ICONIP (4) Koki Sakata, Shota Sakashita, Kazuya Matsuo, Shuichi Kurogi
2015	—	`conf`	Probabilistic Prediction in Multiclass Classification Derived for Flexible Text-Prompted Speaker Verification. ICONIP (1) Shuichi Kurogi, Shota Sakashita, Satoshi Takeguchi, Takuya Ueki, Kazuya Matsuo
2015	—	`conf`	Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizons for Obtaining Plausible Predictions. ICONIP (3) Shuichi Kurogi, Mitsuki Toidani, Ryosuke Shigematsu, Kazuya Matsuo
2014	—	`conf`	Accuracy Improvement of Localization and Mapping of ICP-SLAM via Competitive Associative Nets and Leave-One-Out Cross-Validation. ICONIP (2) Shuichi Kurogi, Yoichiro Yamashita, Hikaru Yoshikawa, Kotaro Hirayama
2014	—	`conf`	Properties of Direct Multi-Step Ahead Prediction of Chaotic Time Series and Out-of-Bag Estimate for Model Selection. ICONIP (2) Shuichi Kurogi, Ryosuke Shigematsu, Kohei Ono
2014	—	`conf`	Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems. ICONIP (3) Weicheng Huang, Yuki Ishiguma, Shuichi Kurogi
2014	—	`conf`	Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers. ICONIP (2) Shuichi Kurogi, Takuya Ueki, Satoshi Takeguchi, Yuta Mizobe
2013	—	`conf`	Experimental Analysis of Moments of Predictive Deviations as Ensemble Diversity Measures for Model Selection in Time Series Prediction. ICONIP (3) Shuichi Kurogi, Kohei Ono, Takeshi Nishida
2013	—	`conf`	Performance Improvement via Bagging Competitive Associative Nets for Multiobjective Robust Controller Using Difference Signals. ICONIP (1) Weicheng Huang, Shuichi Kurogi, Takeshi Nishida
2013	—	`conf`	Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Reducing Verification Errors. ICONIP (3) Shuichi Kurogi, Takuya Ueki, Yuta Mizobe, Takeshi Nishida
2012	—	`conf`	Moments of Predictive Deviations for Ensemble Diversity Measures to Estimate the Performance of Time Series Prediction. ICONIP (5) Kohei Ono, Shuichi Kurogi, Takeshi Nishida
2012	—	`conf`	Multistep Speaker Identification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speaker. ICONIP (5) Yuta Mizobe, Shuichi Kurogi, Tomohiro Tsukazaki, Takeshi Nishida
2012	—	`conf`	Robust Controller for Flexible Specifications Using Difference Signals and Competitive Associative Nets. ICONIP (5) Weicheng Huang, Shuichi Kurogi, Takeshi Nishida
2011	—	`conf`	Multiview Range Image Registration Using Competitive Associative Net and Leave-One-Image-Out Cross-Validation Error. ICONIP (3) Shuichi Kurogi, Tomokazu Nagi, Shoichi Yoshinaga, Hideaki Koya, Takeshi Nishida
2011	—	`conf`	Naive Bayesian Multistep Speaker Recognition Using Competitive Associative Nets. ICONIP (1) Shuichi Kurogi, Shota Mineishi, Tomohiro Tsukazaki, Takeshi Nishida
2011	—	`conf`	Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets. ICONIP (3) Shuichi Kurogi, Hiroshi Yuno, Takeshi Nishida, Weicheng Huang
2010	J	`jnl`	An Analysis of Bayesian Bagging Prediction for Improving Generalization Performance. Aust. J. Intell. Inf. Process. Syst. Shuichi Kurogi, Kenta Harashima, Nozomi Shibata
2010	—	`conf`	An Analysis of Speaker Recognition Using Bagging CAN2 and Pole Distribution of Speech Signals. ICONIP (1) Shuichi Kurogi, Shota Mineishi, Seitaro Sato
2010	—	`conf`	Range Image Registration Using Particle Filter and Competitive Associative Nets. ICONIP (2) Shuichi Kurogi, Tomokazu Nagi, Takeshi Nishida
2009	—	`conf`	A Method to Switch Multiple CAN2s for Variable Initial Temperature in Temperature Control of RCA Cleaning Solutions. ICONIP (2) Shuichi Kurogi, Hiroshi Yuno, Yohei Koshiyama
2009	—	`conf`	Dynamic state estimation using particle filter and adaptive vector quantizer. CIRA Takeshi Nishida, Wataru Kogushi, Natsuki Takagi, Shuichi Kurogi
2009	—	`conf`	Improving generalization performance of bagging ensemble via Bayesian approach. CIRA Shuichi Kurogi, Kenta Harashima
2009	—	`conf`	Range image registration using plane extraction by the CAN2. CIRA Shuichi Kurogi, Hideaki Koya, Ryoji Nagashima, Daisuke Wakeyama, Takeshi Nishida
2009	—	`conf`	Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2. ICONIP (1) Shuichi Kurogi, Seitaro Sato, Kota Ichimaru
2008	B	`conf`	Application of CAN2 to plane extraction from 3D range images. IJCNN Shuichi Kurogi, Daisuke Wakeyama, Hideaki Koya, Shota Okada, Shingo Inoue, Takeshi Nishida
2008	B	`conf`	Model switching predictive control using bagging CAN2 and first-difference signals for temperature control of RCA cleaning solutions. IJCNN Shuichi Kurogi, Yohei Koshiyama, Daisuke Kuwahara, Takeshi Nishida, Mitsuru Mimata, Katsuyoshi Itoh
2007	J	`jnl`	Asymptotic optimality of competitive associative nets and its application to incremental learning of nonlinear functions. Syst. Comput. Jpn. Shuichi Kurogi
2007	B	`conf`	Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets. IJCNN Shuichi Kurogi, Ryohei Koyama, Shinya Tanaka, Toshihisa Sanuki
2007	B	`conf`	Range Data Approximation for Mobile Robot by Using CAN2. IJCNN Takeshi Nishida, Shuichi Kurogi, Yuji Takemura, Hirohito Fukumoto, Shota Okada
2007	—	`conf`	Reproduction and Recognition of Vowel Signals Using Single and Bagging Competitive Associative Nets. ICONIP (2) Shuichi Kurogi, Naoko Nedachi, Yuki Funatsu
2007	J	`jnl`	Time series prediction of the CATS benchmark using Fourier bandpass filters and competitive associative nets. Neurocomputing Shuichi Kurogi, Miho Sawa, Takamasa Ueno
2006	B	`conf`	Ensemble of Competitive Associative Nets and Multiple K-fold Cross-Validation for Estimating Predictive Uncertainty in Environmental Modelling. IJCNN Shuichi Kurogi, Daisuke Kuwahara, Shinya Tanaka
2006	—	`conf`	Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units. ICONIP (1) Shuichi Kurogi, Shinya Tanaka, Ryohei Koyama, Takeshi Nishida
2006	—	`conf`	Ensemble of Competitive Associative Nets for Stable Learning Performance in Temperature Control of RCA Cleaning Solutions. ICONIP (3) Shuichi Kurogi, Daisuke Kuwahara, Hiroaki Tomisaki, Takeshi Nishida, Mitsuru Mimata, Katsuyoshi Itoh
2005	—	`conf`	Competitive Associative Nets and Cross-Validation for Estimating Predictive Uncertainty on Regression Problems. MLCW Shuichi Kurogi, Miho Sawa, Shinya Tanaka
2005	—	`conf`	Development of a Vision System for an Outdoor Service Robot to Collect Trash on Streets. Computer Graphics and Imaging Yasuhiro Fuchikawa, Takeshi Nishida, Shuichi Kurogi, Takashi Kondo, Fujio Ohkawa, Toshinori Suehiro, Yasuhiro Watanabe, Yoshinori Kawamura, Masayuki Obata, Hidekazu Miyagawa, Yoshimitsu Kihara
2004	B	`conf`	Batch learning competitive associative net and its application to time series prediction. IJCNN Shuichi Kurogi, Takasama Ueno, Miho Sawa
1998	B	`conf`	An Analysis of Competitive Associative Nets. ICONIP Shuichi Kurogi, T. Sakamoto, Shougang Ren
1998	B	`conf`	Neuro-controllers Using Competitive Associative Nets Requiring Neither Parameterization of Plants Nor Special Training. ICONIP Shuichi Kurogi, Akira Ikushima, Shougang Ren
1998	B	`conf`	Recognition of Hand-Written Characters by a Multi-Layered Competitive Net. ICONIP Shuichi Kurogi, Takeshi Nishida, Shougang Ren
1991	J	`jnl`	Back-propagation learning of neural networks for translation invariant pattern recognition. Syst. Comput. Jpn. Jianqiang Yi, Shuichi Kurogi, Kiyotoshi Matsuoka
1988	—	`conf`	Abilities and limitations of a neural network model for spoken work recognition. ICNN Shuichi Kurogi