Seiji Miyoshi

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 18

Top Topics

Monte Carlo Method

Obstacle Avoidance

Theoretical Analysis

Top Venues

IEICE Trans. Fundam. Electron. Commun. Comput. Sci.

Neural Networks

Publications

Koyo Kugiyama, Seiji Miyoshi
Statistical-Mechanical Analysis of Adaptive Volterra Filter for Nonwhite Input Signals. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107 (1) (2024)
Kimiko Motonaka, Seiji Miyoshi
Obstacle avoidance using buffered voronoi cells based on local information from a laser range scanner. Adv. Robotics 37 (1-2) (2023)
Shosuke Inoue, Kimiko Motonaka, Seiji Miyoshi
Performance of BVC-based Obstacle Avoidance for a Quadrotor Relative to LiDAR Data Volume. ROBIO (2023)
Go Fukuda, Seiji Miyoshi, Hiroyuki Yomo
Over-the-Air Computation for Partial Aggregation of IoT Data. APCC (2023)
Seiji Miyoshi
Statistical-Mechanical Analysis of Adaptive Filter With Clipping Saturation-Type Nonlinearity. IEEE Trans. Signal Process. 70 (2022)
Koyo Kugiyama, Kimiko Motonaka, Yoshinobu Kajikawa, Seiji Miyoshi
Statistical-Mechanical Analysis of Adaptive Volterra Filter for Time-Varying Unknown System. APSIPA ASC (2021)
Kimiko Motonaka, Tomoya Koseki, Yoshinobu Kajikawa, Seiji Miyoshi
Statistical-Mechanical Analysis of Adaptive Volterra Filter with the LMS Algorithm. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2021)
Kimiko Motonaka, Takuya Watanabe, Yuhwan Kwon, Masaaki Nagahara, Seiji Miyoshi
Control of a quadrotor group based on maximum hands-off distributed control. Int. J. Mechatronics Autom. 8 (4) (2021)
Yasuaki Kuroe, Seiji Miyoshi, Hiroomi Hikawa, Hidetaka Ito, Kimiko Motonaka, Yutaka Maeda
A Synthesis Method of Spiking Neural Oscillators with Considering Asymptotic Stability. IJCNN (2021)
Yuhwan Kwon, Takumi Kaneko, Yoshihisa Tsurumine, Hikaru Sasaki, Kimiko Motonaka, Seiji Miyoshi, Takamitsu Matsubara
Combining Model Predictive Path Integral with Kalman Variational Auto-encoder for Robot Control from Raw Images. SII (2020)
Kimiko Motonaka, Seiji Miyoshi
Connecting PM and MAP in Bayesian spectral deconvolution by extending exchange Monte Carlo method and using multiple data sets. Neural Networks 118 (2019)
Seiji Miyoshi, Yoshinobu Kajikawa
Statistical-Mechanics Approach to Theoretical Analysis of the FXLMS Algorithm. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2018)
Kazushi Ikeda, Arata Honda, Hiroaki Hanzawa, Seiji Miyoshi
Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher. Neural Networks 102 (2018)
Kimiko Motonaka, Takashi Katsube, Yoshinobu Kajikawa, Seiji Miyoshi
Statistical-Mechanical Analysis of the Second-Order Adaptive Volterra Filter. APSIPA (2018)
Tomoki Murata, Yoshinobu Kajikawa, Seiji Miyoshi
Statistical-mechanical analysis of the FXLMS algorithm for multiple-channel active noise control. APSIPA (2017)
Takashi Fujii, Hidetaka Ito, Seiji Miyoshi
A Theoretical Analysis of Semi-supervised Learning. ICONIP (2) (2016)
Kiyonori Terauchi, Kimiko Motonaka, Yoshinobu Kajikawa, Seiji Miyoshi
Analysis of adaptation rate of the FXLMS algorithm. APSIPA (2016)
Norihiro Ishibushi, Yoshinobu Kajikawa, Seiji Miyoshi
Theoretical analysis of LMS algorithm for time-varying unknown system. APSIPA (2016)
Seiji Miyoshi, Takahiro Sasaki, Yuki Fukazawa, Toshio Kondo
An Architectural Framework of Snoopy Interconnection for Heterogeneous Cache Systems. CANDAR (2015)
Seiji Miyoshi, Yoshinobu Kajikawa
Statistical-mechanical analysis of the FXLMS algorithm with actual primary path. ICASSP (2015)
Norihiro Ishibushi, Yoshinobu Kajikawa, Seiji Miyoshi
Analysis of the FXLMS algorithm with norm-constant time-varying primary path. APSIPA (2015)
Nobuhiro Egawa, Yoshinobu Kajikawa, Seiji Miyoshi
Statistical-mechanical analysis of the FXLMS algorithm with time-varying primary path. APSIPA (2014)
Seiji Miyoshi, Yoshinobu Kajikawa
A theory of the FXLMS algorithm based on statistical-mechanical method. ISPA (2013)
Seiji Miyoshi, Yoshinobu Kajikawa
Statistical-mechanical analysis of the FXLMS algorithm with nonwhite reference signals. ICASSP (2013)
Kazushi Ikeda, Hiroaki Hanzawa, Seiji Miyoshi
Convergence Properties of Perceptron Learning with Noisy Teacher. IScIDE (2012)
Seiji Miyoshi, Yoshinobu Kajikawa
Theoretical discussion of the filtered-X LMS algorithm based on statistical mechanical analysis. SSP (2012)
Kazuyuki Hara, Seiji Miyoshi
Ensemble-Teacher Learning through a Perceptron Rule with a Margin. ICANN (1) (2011)
Yutaka Maeda, Takahiro Yamada, Seiji Miyoshi, Hiroomi Hikawa
Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation. ICANN (2) (2011)
Kento Nakao, Yuta Narukawa, Seiji Miyoshi
Statistical Mechanics of On-Line Learning Using Correlated Examples. IEICE Trans. Inf. Syst. (10) (2011)
Ryosuke Miyoshi, Yutaka Maeda, Seiji Miyoshi
Statistical Mechanics of Adaptive Weight Perturbation Learning. IEICE Trans. Inf. Syst. (10) (2011)
Kazuyuki Hara, Katsuya Ono, Seiji Miyoshi
On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin. ICANN (3) (2010)
Kenji Tsuchie, Yoshiko Hanada, Seiji Miyoshi
Estimation of Distribution Algorithm Incorporating Switching. IEICE Trans. Inf. Syst. (11) (2010)
Kazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, Masato Okada
Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory. ICANN (1) (2009)
Yuuki Taki, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda
Hand sign recognition system based on hybrid network classifier. IJCNN (2009)
Akira Onoo, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda
On automatic generation of VHDL code for self-organizing map. IJCNN (2009)
Seiji Miyoshi, Hiroomi Hikawa, Yutaka Maeda
Statistical Mechanical Analysis of Simultaneous Perturbation Learning. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (7) (2009)
Yutaka Maeda, Naoto Matsushita, Seiji Miyoshi, Hiroomi Hikawa
On simultaneous perturbation particle swarm optimization. IEEE Congress on Evolutionary Computation (2009)
Chihiro Seki, Shingo Sakurai, Masafumi Matsuno, Seiji Miyoshi
A Theoretical Analysis of On-Line Learning Using Correlated Examples. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (9) (2008)
Kazuyuki Hara, Seiji Miyoshi, Tatsuya Uezu, Masato Okada
Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction. ICONIP (2) (2008)
Hideto Utsumi, Seiji Miyoshi, Masato Okada
Statistical Mechanics of Nonlinear On-line Learning for Ensemble Teachers CoRR (2007)
Masahiro Urakami, Seiji Miyoshi, Masato Okada
Statistical Mechanics of On-line Learning when a Moving Teacher Goes around an Unlearnable True Teacher CoRR (2006)
Seiji Miyoshi, Masato Okada
Statistical Mechanics of Online Learning for Ensemble Teachers. IJCNN (2006)
Seiji Miyoshi, Kazuyuki Hara, Masato Okada
Analysis of ensemble learning using simple perceptrons based on on-line learning theory. Systems and Computers in Japan 36 (12) (2005)
Seiji Miyoshi, Hiro-Fumi Yanai, Masato Okada
Associative memory by recurrent neural networks with delay elements. Neural Networks 17 (1) (2004)
Seiji Miyoshi, Masato Okada
Storage capacity diverges with synaptic efficiency in an associative memory model with synaptic delay and pruning. IEEE Trans. Neural Networks 15 (5) (2004)
Kazushi Ikeda, Seiji Miyoshi, Kenji Nakayama
Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies. ICONIP (1998)
Seiji Miyoshi, Kenji Nakayama
A geometric learning algorithm for elementary perceptron and its convergence analysis. ICNN (1997)
Seiji Miyoshi, Kenji Nakayama
Probabilistic memory capacity of recurrent neural networks. ICNN (1996)
Seiji Miyoshi, Kenji Nakayama
A recurrent neural network with serial delay elements for memorizing limit cycles. ICNN (1995)