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ORCIDHiromi Miyajima
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2020 – today
- 2022
[c33]Hirofumi Miyajima, Noritaka Shigei
, Hiromi Miyajima, Norio Shiratori:
Secure Distributed Processing of NG with Updatable Decomposition Data and Parameters. NaNA 2022: 354-360- 2021
- [j24]Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori:
Learning algorithms for vector quantization using vertically partitioned data with IoT. Artif. Life Robotics 26(3): 283-290 (2021) - [j23]Ryo Fukuoka, Noritaka Shigei, Hirofumi Miyajima, Yoshihiro Nakamura, Hiromi Miyajima:
Self-driving model car acquiring three-point turn motion by using improved LSTM model. Artif. Life Robotics 26(4): 423-431 (2021) - 2020
- [c32]Ryota Yamaguchi, Noritaka Shigei, Hirofumi Miyajima, Hiromi Miyajima:
Personal Identification by Learning-Based Integration of Facial and Clothes Similarities. GCCE 2020: 307-308
2010 – 2019
- 2019
- [c31]Hirofumi Miyajima, Hiromi Miyajima, Norio Shiratori:
Fast and Secure Back-Propagation Learning Using Vertically Partitioned Data with IoT. CANDAR Workshops 2019: 450-454 - 2018
- [j22]Hirofumi Miyajima, Norio Shiratori, Hiromi Miyajima:
Proposal of security preserving machine learning of IoT. Artif. Intell. Res. 7(2): 26- (2018) - 2017
- [j21]Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Yohtaro Miyanishi, Shinji Kitagami, Norio Shiratori:
New privacy preserving clustering methods for secure multiparty computation. Artif. Intell. Res. 6(1): 27-36 (2017) - [j20]Hirofumi Miyajima, Noritaka Shigei, Syunki Makino, Hiromi Miyajima, Yohtaro Miyanishi, Shinji Kitagami, Norio Shiratori:
A proposal of privacy preserving reinforcement learning for secure multiparty computation. Artif. Intell. Res. 6(2): 57-68 (2017) - 2016
- [j19]Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima:
System identifications by SIRMs models with linear transformation of input variables. Artif. Intell. Res. 5(2): 55-63 (2016) - [c30]Yoshiki Nakashima, Noritaka Shigei, Hiromi Miyajima:
Hybrid of ideal movement method and virtual rail method for network construction in mobile sensor network. ICCE-TW 2016: 1-2 - [c29]Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima:
The Ability of Learning Algorithms for Fuzzy Inference Systems Using Vector Quantization. ICONIP (4) 2016: 479-488 - 2015
- [j18]Yogi Anggun Saloko Yudo, Noritaka Shigei, Hiromi Miyajima:
Effective initial route construction for mobile relay on wireless sensor network. Artif. Life Robotics 20(1): 49-55 (2015) - [j17]Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima:
Performance Comparison of Hybrid Electromagnetism-Like Mechanism Algorithms with Descent Method. J. Artif. Intell. Soft Comput. Res. 5(4): 271 (2015) - [c28]Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima:
SIRMs Fuzzy Inference Model with Linear Transformation of Input Variables and Universal Approximation. IWANN (1) 2015: 561-575 - 2014
- [c27]Mikio Oda, Hiromi Miyajima:
Show-through cancellation in scanned documents using two-layer bidirectional neural networks. SCIS&ISIS 2014: 71-74 - [c26]Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima:
A proposal of SIRMs model with linear transformation of input variables. SCIS&ISIS 2014: 311-316 - [c25]Noritaka Shigei, Hideaki Kumashiro, Hiromi Miyajima:
Parallel stochastic search for PAPR reduction of OFDM signal. SCIS&ISIS 2014: 317-322 - [c24]Yogi Anggun Saloko Yudo, Noritaka Shigei, Hiromi Miyajima:
A∗ algorithm-based initial route construction for mobile relay on WSN. SCIS&ISIS 2014: 323-328 - [c23]Tomohiro Hachino, Hiromi Miyajima, Hitoshi Takata, Kazuo Komatsu, Soichiro Osako, Kimihisa Kawabata:
An augmented automatic choosing control of formal linearization filter type by ABC algorithm and its application to electric power systems. SCIS&ISIS 2014: 329-334 - 2011
- [c22]Hiromi Miyajima, Noritaka Shigei, Tomiyuki Shiiba:
Numerical Evaluation of Clustering Methods with Kernel PCA. ICHIT (1) 2011: 677-684 - 2010
- [c21]Hiromi Miyajima, Noritaka Shigei, Keisuke Arima:
Some quantum search algorithms for arbitrary initial amplitude distribution. ICNC 2010: 603-608
2000 – 2009
- 2009
- [j16]Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda, Lixin Ma:
Bagging and AdaBoost algorithms for vector quantization. Neurocomputing 73(1-3): 106-114 (2009) - [c20]Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima:
Learning Algorithms with Neighboring Inputs in Self-organizing Maps for Image Restoration. IJCCI 2009: 331-338 - [c19]Noritaka Shigei, Hiromi Miyajima, Shinya Nagamine:
A Proposal of Fuzzy Inference Model Composed of Small-Number-of-Input Rule Modules. ISNN (2) 2009: 118-126 - [c18]Hiromi Miyajima, Noritaka Shigei, Shuji Yatsuki:
Higher Order Neurodynamics of Associative Memory for Sequential Patterns. ISNN (2) 2009: 886-894 - 2008
- [j15]Michiharu Maeda, Kenichi Suzaki, Noritaka Shigei, Hiromi Miyajima:
Properties of creation and reduction according to the equinumber principle for adaptive vector quantisation. Int. J. Autom. Control. 2(2/3): 232-246 (2008) - [j14]Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima, Kenichi Suzaki:
Reduction Models in Competitive Learning Founded on Distortion Standards. J. Adv. Comput. Intell. Intell. Informatics 12(3): 314-323 (2008) - [c17]Hiromi Miyajima, Noritaka Shigei, Shinya Fukumoto, Toshiaki Miike:
Parallel Fuzzy Reasoning Models with Ensemble Learning. ISNN (1) 2008: 521-530 - 2007
- [j13]Michiharu Maeda, Masaya Suenaga, Hiromi Miyajima:
Qubit neuron according to quantum circuit for XOR problem. Appl. Math. Comput. 185(2): 1015-1025 (2007) - [j12]Michiharu Maeda, Hiromi Miyajima, Noritaka Shigei:
Parallel Learning Model and Topological Measurement for Self-Organizing Maps. J. Adv. Comput. Intell. Intell. Informatics 11(3): 327-334 (2007) - [j11]Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda, Lixin Ma:
Effective Multiple Vector Quantization for Image Compression. J. Adv. Comput. Intell. Intell. Informatics 11(10): 1189-1196 (2007) - [c16]Hiromi Miyajima, Noritaka Shigei, Shinya Fukumoto, N. Nakatsu:
A Learning Algorithm with Boosting for Fuzzy Reasoning Model. FSKD (2) 2007: 85-90 - 2006
- [j10]Hiromi Miyajima, Noritaka Shigei:
Associative ability of higher order correlation models for sequential patterns. Int. J. Knowl. Based Intell. Eng. Syst. 10(6): 403-416 (2006) - 2005
- [j9]Hiromi Miyajima, Noritaka Shigei, Shuji Yatsuki:
Shift-Invariant Associative Memory Based on Homogeneous Neural Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 88-A(10): 2600-2606 (2005) - [j8]Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda:
Competitive Learning with Fast Neuron-Insertion. J. Adv. Comput. Intell. Intell. Informatics 9(6): 590-598 (2005) - [j7]Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima:
Adaptive Vector Quantization with Creation and Reduction Grounded in the Equinumber Principle. J. Adv. Comput. Intell. Intell. Informatics 9(6): 599-606 (2005) - [c15]Michiharu Maeda, Masaya Suenaga, Hiromi Miyajima:
A Learning Model in Qubit Neuron According to Quantum Circuit. ICNC (1) 2005: 283-292 - [c14]Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda:
A Multiple Vector Quantization Approach to Image Compression. ICNC (2) 2005: 361-370 - [c13]Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima:
Characteristics of Equinumber Principle for Adaptive Vector Quantization. ICNC (2) 2005: 415-424 - [c12]Hiromi Miyajima, Noritaka Shigei:
Absolute Capacities for Higher Order Associative Memory of Sequential Patterns. KES (3) 2005: 547-553 - 2004
- [c11]Lixin Ma, Hiromi Miyajima, Noritaka Shigei, Shuma Kawabata:
Neural Networks Determining Injury by Salt Water for Distribution Lines. ISNN (2) 2004: 436-441 - [c10]Hiromi Miyajima, Noritaka Shigei, Yasuo Hamakawa:
Transition Properties of Higher Order Associative Memory of Sequential Patterns. KES 2004: 855-861 - 2003
- [j6]Michiharu Maeda, Hiromi Miyajima:
Construction Method of Fuzzy Inference by Rule Creation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(6): 1509-1512 (2003) - [j5]Shinya Fukumoto, Noritaka Shigei, Michiharu Maeda, Hiromi Miyajima:
A Hybrid Learning Approach to Self-Organizing Neural Network for Vector Quantization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(9): 2280-2286 (2003) - [c9]Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda, Shinya Fukumoto:
Hybrid learning methods for vector quantization and its to image compression. ISSPA (2) 2003: 243-246 - 2002
- [j4]Michiharu Maeda, Hiromi Miyajima:
Adaptation Strength According to Neighborhood Ranking of Self-Organizing Neural Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85-A(9): 2078-2082 (2002) - 2001
- [c8]Mikio Oda, Hiromi Miyajima:
Autoassociative memory using refractory period of neurons and its on-line learning. ICECS 2001: 623-626 - [c7]Michiharu Maeda, Hiromi Miyajima:
Properties of deletion methods in competitive learning. ISCAS (3) 2001: 707-710 - 2000
- [c6]Shuji Yatsuki, Hiromi Miyajima:
Statistical dynamics of associative memory for higher order neural networks. ISCAS 2000: 670-673
1990 – 1999
- 1997
- [c5]Hiromi Miyajima, Shuji Yatsuki:
Dynamics of distance between patterns for higher order random neural networks. ICNN 1997: 1029-1034 - [c4]Shuji Yatsuki, Hiromi Miyajima:
Associative ability of higher order neural networks. ICNN 1997: 1299-1304 - 1996
- [c3]Hiromi Miyajima, Lixin Ma, Hiroyuki Suwa:
Dynamic Properties of Higher Order Random Neural Networks. ICTAI 1996: 430-431 - [c2]Hiromi Miyajima, Lixin Ma, Tetsuo Makise:
Constructions Of Higher Order Neural Networks Based On Aic. ISSPA 1996: 561-562 - 1995
- [c1]Hiromi Miyajima, Shuji Yatsuki, Junya Kubota:
Dynamical properties of neural networks with product connections. ICNN 1995: 3198-3203
1980 – 1989
- 1989
- [j3]Hiromi Miyajima:
A real-time recognition of languages for bounded cellular automata. Syst. Comput. Jpn. 20(2): 38-51 (1989) - 1987
- [j2]Hiromi Miyajima:
Faster recognition of languages for bounded cellular automata. Syst. Comput. Jpn. 18(12): 92-102 (1987) - 1984
- [j1]Hiromi Miyajima, Masateru Harao, Shoichi Noguchi:
Indecomposable Maps in Tessellation Structures of Arbitrary Dimension. J. Comput. Syst. Sci. 29(2): 171-182 (1984)
Coauthor Index
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