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ORCIDSeiji Miyoshi
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2020 – today
- 2024
[j16]Koyo Kugiyama, Seiji Miyoshi:
Statistical-Mechanical Analysis of Adaptive Volterra Filter for Nonwhite Input Signals. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(1): 87-95 (2024)- 2023
- [j15]Kimiko Motonaka
, Seiji Miyoshi:
Obstacle avoidance using buffered voronoi cells based on local information from a laser range scanner. Adv. Robotics 37(1-2): 73-86 (2023) - [c31]Go Fukuda, Seiji Miyoshi, Hiroyuki Yomo:
Over-the-Air Computation for Partial Aggregation of IoT Data. APCC 2023: 297-300 - [c30]Shosuke Inoue, Kimiko Motonaka, Seiji Miyoshi:
Performance of BVC-based Obstacle Avoidance for a Quadrotor Relative to LiDAR Data Volume. ROBIO 2023: 1-6 - 2022
- [j14]Seiji Miyoshi:
Statistical-Mechanical Analysis of Adaptive Filter With Clipping Saturation-Type Nonlinearity. IEEE Trans. Signal Process. 70: 4867-4882 (2022) - 2021
- [j13]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. 104-A(12): 1665-1674 (2021) - [j12]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): 200-207 (2021) - [c29]Koyo Kugiyama, Kimiko Motonaka, Yoshinobu Kajikawa, Seiji Miyoshi:
Statistical-Mechanical Analysis of Adaptive Volterra Filter for Time-Varying Unknown System. APSIPA ASC 2021: 259-263 - [c28]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: 1-6 - 2020
- [c27]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: 271-276
2010 – 2019
- 2019
- [j11]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: 159-166 (2019) - 2018
- [j10]Seiji Miyoshi, Yoshinobu Kajikawa:
Statistical-Mechanics Approach to Theoretical Analysis of the FXLMS Algorithm. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(12): 2419-2433 (2018) - [j9]Kazushi Ikeda, Arata Honda, Hiroaki Hanzawa, Seiji Miyoshi:
Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher. Neural Networks 102: 21-26 (2018) - [c26]Kimiko Motonaka, Takashi Katsube, Yoshinobu Kajikawa, Seiji Miyoshi:
Statistical-Mechanical Analysis of the Second-Order Adaptive Volterra Filter. APSIPA 2018: 1821-1824 - 2017
- [c25]Tomoki Murata, Yoshinobu Kajikawa, Seiji Miyoshi:
Statistical-mechanical analysis of the FXLMS algorithm for multiple-channel active noise control. APSIPA 2017: 136-139 - 2016
- [c24]Norihiro Ishibushi, Yoshinobu Kajikawa, Seiji Miyoshi:
Theoretical analysis of LMS algorithm for time-varying unknown system. APSIPA 2016: 1-4 - [c23]Kiyonori Terauchi, Kimiko Motonaka, Yoshinobu Kajikawa, Seiji Miyoshi:
Analysis of adaptation rate of the FXLMS algorithm. APSIPA 2016: 1-4 - [c22]Takashi Fujii, Hidetaka Ito, Seiji Miyoshi:
A Theoretical Analysis of Semi-supervised Learning. ICONIP (2) 2016: 28-36 - 2015
- [c21]Norihiro Ishibushi, Yoshinobu Kajikawa, Seiji Miyoshi:
Analysis of the FXLMS algorithm with norm-constant time-varying primary path. APSIPA 2015: 165-168 - [c20]Seiji Miyoshi, Takahiro Sasaki, Yuki Fukazawa, Toshio Kondo:
An Architectural Framework of Snoopy Interconnection for Heterogeneous Cache Systems. CANDAR 2015: 561-565 - [c19]Seiji Miyoshi, Yoshinobu Kajikawa:
Statistical-mechanical analysis of the FXLMS algorithm with actual primary path. ICASSP 2015: 3502-3506 - 2014
- [c18]Nobuhiro Egawa, Yoshinobu Kajikawa, Seiji Miyoshi:
Statistical-mechanical analysis of the FXLMS algorithm with time-varying primary path. APSIPA 2014: 1-5 - 2013
- [c17]Seiji Miyoshi, Yoshinobu Kajikawa:
Statistical-mechanical analysis of the FXLMS algorithm with nonwhite reference signals. ICASSP 2013: 5652-5656 - [c16]Seiji Miyoshi, Yoshinobu Kajikawa:
A theory of the FXLMS algorithm based on statistical-mechanical method. ISPA 2013: 645-650 - 2012
- [c15]Kazushi Ikeda, Hiroaki Hanzawa, Seiji Miyoshi:
Convergence Properties of Perceptron Learning with Noisy Teacher. IScIDE 2012: 417-424 - [c14]Seiji Miyoshi, Yoshinobu Kajikawa:
Theoretical discussion of the filtered-X LMS algorithm based on statistical mechanical analysis. SSP 2012: 341-344 - 2011
- [j8]Ryosuke Miyoshi, Yutaka Maeda, Seiji Miyoshi:
Statistical Mechanics of Adaptive Weight Perturbation Learning. IEICE Trans. Inf. Syst. 94-D(10): 1937-1940 (2011) - [j7]Kento Nakao, Yuta Narukawa, Seiji Miyoshi:
Statistical Mechanics of On-Line Learning Using Correlated Examples. IEICE Trans. Inf. Syst. 94-D(10): 1941-1944 (2011) - [c13]Kazuyuki Hara, Seiji Miyoshi:
Ensemble-Teacher Learning through a Perceptron Rule with a Margin. ICANN (1) 2011: 363-370 - [c12]Yutaka Maeda, Takahiro Yamada, Seiji Miyoshi, Hiroomi Hikawa:
Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation. ICANN (2) 2011: 462-469 - 2010
- [j6]Kenji Tsuchie, Yoshiko Hanada, Seiji Miyoshi:
Estimation of Distribution Algorithm Incorporating Switching. IEICE Trans. Inf. Syst. 93-D(11): 3108-3111 (2010) - [c11]Kazuyuki Hara, Katsuya Ono, Seiji Miyoshi:
On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin. ICANN (3) 2010: 339-344
2000 – 2009
- 2009
- [j5]Seiji Miyoshi, Hiroomi Hikawa, Yutaka Maeda:
Statistical Mechanical Analysis of Simultaneous Perturbation Learning. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(7): 1743-1746 (2009) - [c10]Yutaka Maeda, Naoto Matsushita, Seiji Miyoshi, Hiroomi Hikawa:
On simultaneous perturbation particle swarm optimization. IEEE Congress on Evolutionary Computation 2009: 3271-3276 - [c9]Kazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, Masato Okada:
Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory. ICANN (1) 2009: 171-180 - [c8]Akira Onoo, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda:
On automatic generation of VHDL code for self-organizing map. IJCNN 2009: 2366-2373 - [c7]Yuuki Taki, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda:
Hand sign recognition system based on hybrid network classifier. IJCNN 2009: 3074-3081 - 2008
- [j4]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. 91-A(9): 2663-2670 (2008) - [c6]Kazuyuki Hara, Seiji Miyoshi, Tatsuya Uezu, Masato Okada:
Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction. ICONIP (2) 2008: 195-202 - 2007
- [i2]Hideto Utsumi, Seiji Miyoshi, Masato Okada:
Statistical Mechanics of Nonlinear On-line Learning for Ensemble Teachers. CoRR abs/0705.2318 (2007) - 2006
- [c5]Seiji Miyoshi, Masato Okada:
Statistical Mechanics of Online Learning for Ensemble Teachers. IJCNN 2006: 750-755 - [i1]Masahiro Urakami, Seiji Miyoshi, Masato Okada:
Statistical Mechanics of On-line Learning when a Moving Teacher Goes around an Unlearnable True Teacher. CoRR abs/cs/0612117 (2006) - 2005
- [j3]Seiji Miyoshi, Kazuyuki Hara, Masato Okada:
Analysis of ensemble learning using simple perceptrons based on on-line learning theory. Syst. Comput. Jpn. 36(12): 63-74 (2005) - 2004
- [j2]Seiji Miyoshi, Hiro-Fumi Yanai, Masato Okada:
Associative memory by recurrent neural networks with delay elements. Neural Networks 17(1): 55-63 (2004) - [j1]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): 1215-1227 (2004)
1990 – 1999
- 1998
- [c4]Kazushi Ikeda, Seiji Miyoshi, Kenji Nakayama:
Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies. ICONIP 1998: 1215-1218 - 1997
- [c3]Seiji Miyoshi, Kenji Nakayama:
A geometric learning algorithm for elementary perceptron and its convergence analysis. ICNN 1997: 1913-1918 - 1996
- [c2]Seiji Miyoshi, Kenji Nakayama:
Probabilistic memory capacity of recurrent neural networks. ICNN 1996: 1291-1296 - 1995
- [c1]Seiji Miyoshi, Kenji Nakayama:
A recurrent neural network with serial delay elements for memorizing limit cycles. ICNN 1995: 1955-1960
Coauthor Index
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