Zobrazeno 1 - 10 of 71 pro vyhledávání: '"Shin Kamada"'
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Akademický článek
Automatic Extraction of Road Networks by Using Teacher–Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster
Autor: Shin Kamada, Takumi Ichimura
Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6310-6324 (2023)
An adaptive structural learning method of restricted Boltzmann machine (RBM) and deep belief network (DBN) has been developed as one of prominent deep learning models. The neuron generation–annihilation algorithm in RBM and layer generation algorit
Externí odkaz: https://doaj.org/article/6de17c2d4c734531a213dce981bae7c9
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3
Automatic Extraction of Road Networks from Satellite Images by using Adaptive Structural Deep Belief Network
Autor: Takumi Ichimura, Shin Kamada
Publikováno v: 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR).
In our research, an adaptive structural learning method of Restricted Boltzmann Machine (RBM) and Deep Belief Network (DBN) has been developed as one of prominent deep learning models. The neuron generation-annihilation in RBM and layer generation al
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c252703770cc25315e9a956a82d1aa20
https://doi.org/10.1109/icievicivpr52578.2021.9564155
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4
Knowledge Extraction of Adaptive Structural Learning of Deep Belief Network for Medical Examination Data
Autor: Toshihide Harada, Shin Kamada, Takumi Ichimura
Publikováno v: International Journal of Semantic Computing. 13:67-86
Deep learning has a hierarchical network structure to represent multiple features of input data. The adaptive structural learning method of Deep Belief Network (DBN) can reach the high classification capability while searching the optimal network str
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4fcdcee7b97c3ceb822cbc99d7357d40
https://doi.org/10.1142/s1793351x1940004x
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5
Image-Based Early Detection of Alzheimer’s Disease by Using Adaptive Structural Deep Learning
Autor: Toshihide Harada, Takumi Ichimura, Shin Kamada
Publikováno v: Intelligent Decision Technologies ISBN: 9789811627644
KES-IDT
Deep learning has been a successful model which can effectively represent several features of input space and remarkably improve image recognition performance on the deep architectures. In our research, an adaptive structural learning method of restr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::697961ec09aaef89146a8f77ea9d90ac
https://doi.org/10.1007/978-981-16-2765-1_49
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6
Adaptive Structural Deep Learning to Recognize Kinship Using Families in Wild Multimedia
Autor: Shin Kamada, Takumi Ichimura
Publikováno v: Intelligent Decision Technologies ISBN: 9789811627644
KES-IDT
Deep learning has a hierarchical network architecture to represent the complicated feature of input patterns. We have developed the adaptive structure learning method of deep belief network (adaptive DBN) that can discover an optimal number of hidden
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::53b8a771c823510a6d29a4a8b7a9820f
https://doi.org/10.1007/978-981-16-2765-1_46
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7
An Embedded System for Image-based Crack Detection by using Fine-Tuning model of Adaptive Structural Learning of Deep Belief Network
Autor: Takumi Ichimura, Shin Kamada
Publikováno v: TENCON
Deep learning has been a successful model which can effectively represent several features of input space and remarkably improve image recognition performance on the deep architectures. In our research, an adaptive structural learning method of Restr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adde688c31b37f0d4a830ed1ef7f0856
https://doi.org/10.1109/tencon50793.2020.9293705
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8
A Distillation Learning Model of Adaptive Structural Deep Belief Network for AffectNet: Facial Expression Image Database
Autor: Takumi Ichimura, Shin Kamada
Publikováno v: 2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI).
Deep Learning has a hierarchical network architecture to represent the complicated feature of input patterns. We have developed the adaptive structure learning method of Deep Belief Network (DBN) that can discover an optimal number of hidden neurons
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a50658285b2a7384ef04ccc8d27d8510
https://doi.org/10.1109/iiai-aai50415.2020.00096
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10
Adaptive structure learning method of deep belief network using neuron generation–annihilation and layer generation
Autor: Takumi Ichimura, Kenneth J. Mackin, Akira Hara, Shin Kamada
Publikováno v: Neural Computing and Applications. 31:8035-8049
Recently, deep learning is receiving renewed attention in the field of artificial intelligence. Deep belief network (DBN) has a deep network architecture that can represent multiple features of input patterns hierarchically, using pre-trained restric
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0d5e2d1ff7ab2f1e5226c2bb2009ec07
https://doi.org/10.1007/s00521-018-3622-y
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