Seiji Miyoshi

53 papers B 7C 2Misc 2Journal 21Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Improved Anomaly Detection Using Efficient GAN and Mapping Consistency.
IEICE Trans. Inf. Syst.
Rihito Shoda, Seiji Miyoshi
2024 J jnl
Exact Equality of the MSEs for Two Types of Nonlinear Adaptive Systems: Saturation and Dead-Zone Types.
IEEE Access
Seiji Miyoshi, Yu Yamaguchi
2024 J jnl
Navigation of a Quadrotor Based on Voronoi Division Calculated from Local Information.
J. Robotics Mechatronics
Kimiko Motonaka, Seiji Miyoshi
2024 J jnl
Statistical-Mechanical Analysis of Adaptive Volterra Filter for Nonwhite Input Signals.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Koyo Kugiyama, Seiji Miyoshi
2023 J jnl
Obstacle avoidance using buffered voronoi cells based on local information from a laser range scanner.
Adv. Robotics
Kimiko Motonaka, Seiji Miyoshi
2023 C conf
Over-the-Air Computation for Partial Aggregation of IoT Data.
APCC
Go Fukuda, Seiji Miyoshi, Hiroyuki Yomo
2023 — conf
Performance of BVC-based Obstacle Avoidance for a Quadrotor Relative to LiDAR Data Volume.
ROBIO
Shosuke Inoue, Kimiko Motonaka, Seiji Miyoshi
2022 J jnl
Statistical-Mechanical Analysis of Adaptive Filter With Clipping Saturation-Type Nonlinearity.
IEEE Trans. Signal Process.
Seiji Miyoshi
2021 B conf
A Synthesis Method of Spiking Neural Oscillators with Considering Asymptotic Stability.
IJCNN
Yasuaki Kuroe, Seiji Miyoshi, Hiroomi Hikawa, Hidetaka Ito, Kimiko Motonaka, Yutaka Maeda
2021 J jnl
Control of a quadrotor group based on maximum hands-off distributed control.
Int. J. Mechatronics Autom.
Kimiko Motonaka, Takuya Watanabe, Yuhwan Kwon, Masaaki Nagahara, Seiji Miyoshi
2021 — conf
Statistical-Mechanical Analysis of Adaptive Volterra Filter for Time-Varying Unknown System.
APSIPA ASC
Koyo Kugiyama, Kimiko Motonaka, Yoshinobu Kajikawa, Seiji Miyoshi
2021 J jnl
Statistical-Mechanical Analysis of Adaptive Volterra Filter with the LMS Algorithm.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Kimiko Motonaka, Tomoya Koseki, Yoshinobu Kajikawa, Seiji Miyoshi
2020 — conf
Combining Model Predictive Path Integral with Kalman Variational Auto-encoder for Robot Control from Raw Images.
SII
Yuhwan Kwon, Takumi Kaneko, Yoshihisa Tsurumine, Hikaru Sasaki, Kimiko Motonaka, Seiji Miyoshi, Takamitsu Matsubara
2019 J jnl
Connecting PM and MAP in Bayesian spectral deconvolution by extending exchange Monte Carlo method and using multiple data sets.
Neural Networks
Kimiko Motonaka, Seiji Miyoshi
2018 J jnl
Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher.
Neural Networks
Kazushi Ikeda, Arata Honda, Hiroaki Hanzawa, Seiji Miyoshi
2018 — conf
Statistical-Mechanical Analysis of the Second-Order Adaptive Volterra Filter.
APSIPA
Kimiko Motonaka, Takashi Katsube, Yoshinobu Kajikawa, Seiji Miyoshi
2018 J jnl
Statistical-Mechanics Approach to Theoretical Analysis of the FXLMS Algorithm.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Seiji Miyoshi, Yoshinobu Kajikawa
2017 — conf
Statistical-mechanical analysis of the FXLMS algorithm for multiple-channel active noise control.
APSIPA
Tomoki Murata, Yoshinobu Kajikawa, Seiji Miyoshi
2016 — conf
A Theoretical Analysis of Semi-supervised Learning.
ICONIP (2)
Takashi Fujii, Hidetaka Ito, Seiji Miyoshi
2016 — conf
Analysis of adaptation rate of the FXLMS algorithm.
APSIPA
Kiyonori Terauchi, Kimiko Motonaka, Yoshinobu Kajikawa, Seiji Miyoshi
2016 — conf
Theoretical analysis of LMS algorithm for time-varying unknown system.
APSIPA
Norihiro Ishibushi, Yoshinobu Kajikawa, Seiji Miyoshi
2015 — conf
An Architectural Framework of Snoopy Interconnection for Heterogeneous Cache Systems.
CANDAR
Seiji Miyoshi, Takahiro Sasaki, Yuki Fukazawa, Toshio Kondo
2015 — conf
Analysis of the FXLMS algorithm with norm-constant time-varying primary path.
APSIPA
Norihiro Ishibushi, Yoshinobu Kajikawa, Seiji Miyoshi
2015 Misc conf
Statistical-mechanical analysis of the FXLMS algorithm with actual primary path.
ICASSP
Seiji Miyoshi, Yoshinobu Kajikawa
2014 — conf
Statistical-mechanical analysis of the FXLMS algorithm with time-varying primary path.
APSIPA
Nobuhiro Egawa, Yoshinobu Kajikawa, Seiji Miyoshi
2013 C conf
A theory of the FXLMS algorithm based on statistical-mechanical method.
ISPA
Seiji Miyoshi, Yoshinobu Kajikawa
2013 Misc conf
Statistical-mechanical analysis of the FXLMS algorithm with nonwhite reference signals.
ICASSP
Seiji Miyoshi, Yoshinobu Kajikawa
2012 — conf
Convergence Properties of Perceptron Learning with Noisy Teacher.
IScIDE
Kazushi Ikeda, Hiroaki Hanzawa, Seiji Miyoshi
2012 — conf
Theoretical discussion of the filtered-X LMS algorithm based on statistical mechanical analysis.
SSP
Seiji Miyoshi, Yoshinobu Kajikawa
2011 — conf
Ensemble-Teacher Learning through a Perceptron Rule with a Margin.
ICANN (1)
Kazuyuki Hara, Seiji Miyoshi
2011 — conf
Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation.
ICANN (2)
Yutaka Maeda, Takahiro Yamada, Seiji Miyoshi, Hiroomi Hikawa
2011 J jnl
Statistical Mechanics of Adaptive Weight Perturbation Learning.
IEICE Trans. Inf. Syst.
Ryosuke Miyoshi, Yutaka Maeda, Seiji Miyoshi
2011 J jnl
Statistical Mechanics of On-Line Learning Using Correlated Examples.
IEICE Trans. Inf. Syst.
Kento Nakao, Yuta Narukawa, Seiji Miyoshi
2010 J jnl
Estimation of Distribution Algorithm Incorporating Switching.
IEICE Trans. Inf. Syst.
Kenji Tsuchie, Yoshiko Hanada, Seiji Miyoshi
2010 — conf
On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin.
ICANN (3)
Kazuyuki Hara, Katsuya Ono, Seiji Miyoshi
2009 B conf
Hand sign recognition system based on hybrid network classifier.
IJCNN
Yuuki Taki, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda
2009 — conf
Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory.
ICANN (1)
Kazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, Masato Okada
2009 B conf
On automatic generation of VHDL code for self-organizing map.
IJCNN
Akira Onoo, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda
2009 B conf
On simultaneous perturbation particle swarm optimization.
IEEE Congress on Evolutionary Computation
Yutaka Maeda, Naoto Matsushita, Seiji Miyoshi, Hiroomi Hikawa
2009 J jnl
Statistical Mechanical Analysis of Simultaneous Perturbation Learning.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Seiji Miyoshi, Hiroomi Hikawa, Yutaka Maeda
2008 J jnl
A Theoretical Analysis of On-Line Learning Using Correlated Examples.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Chihiro Seki, Shingo Sakurai, Masafumi Matsuno, Seiji Miyoshi
2008 — conf
Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction.
ICONIP (2)
Kazuyuki Hara, Seiji Miyoshi, Tatsuya Uezu, Masato Okada
2007 J jnl
Statistical Mechanics of Nonlinear On-line Learning for Ensemble Teachers
CoRR
Hideto Utsumi, Seiji Miyoshi, Masato Okada
2006 J jnl
Statistical Mechanics of On-line Learning when a Moving Teacher Goes around an Unlearnable True Teacher
CoRR
Masahiro Urakami, Seiji Miyoshi, Masato Okada
2006 B conf
Statistical Mechanics of Online Learning for Ensemble Teachers.
IJCNN
Seiji Miyoshi, Masato Okada
2005 J jnl
Analysis of ensemble learning using simple perceptrons based on on-line learning theory.
Syst. Comput. Jpn.
Seiji Miyoshi, Kazuyuki Hara, Masato Okada
2004 B conf
Analysis of ensemble learning using simple perceptrons based on online learning theory.
IJCNN
Seiji Miyoshi, Kazuyuki Hara, Masato Okada
2004 J jnl
Associative memory by recurrent neural networks with delay elements.
Neural Networks
Seiji Miyoshi, Hiro-Fumi Yanai, Masato Okada
2004 J jnl
Storage capacity diverges with synaptic efficiency in an associative memory model with synaptic delay and pruning.
IEEE Trans. Neural Networks
Seiji Miyoshi, Masato Okada
1998 B conf
Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies.
ICONIP
Kazushi Ikeda, Seiji Miyoshi, Kenji Nakayama
1997 — conf
A geometric learning algorithm for elementary perceptron and its convergence analysis.
ICNN
Seiji Miyoshi, Kenji Nakayama
1996 — conf
Probabilistic memory capacity of recurrent neural networks.
ICNN
Seiji Miyoshi, Kenji Nakayama
1995 — conf
A recurrent neural network with serial delay elements for memorizing limit cycles.
ICNN
Seiji Miyoshi, Kenji Nakayama