Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Takanori OGATA"'
1
[Retrosternal Giant Aortic Aneurysm;Report of Two Cases]
Autor: Kazuyoshi, Doi, Manabu, Itoh, Takahiro, Kitsuka, Minami, Watanabe, Takanori, Ogata, Hiroki, Kashiwada, Yusei, Murata, Yu, Yamashita, Mai, Hirashima, Rei, Yoshioka, Noriaki, Matsumoto
Publikováno v: Kyobu geka. The Japanese journal of thoracic surgery. 72(13)
This is a 2-case report of successful aortic repair surgery for the retrosternal giant aortic aneurysm. Our surgical strategy is "deep hypothermia and left ventricular( LV) unloading under cardiopulmonary bypass before approaching to the aortic aneur
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::7f362ddfd63817050aa7122b878c3452
https://pubmed.ncbi.nlm.nih.gov/31879385
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2
Embedding Human Knowledge into Deep Neural Network via Attention Map
Autor: Masahiro Mitsuhara, Hironobu Fujiyoshi, Hiroshi Fukui, Tsubasa Hirakawa, Takanori Ogata, Takayoshi Yamashita, Yusuke Sakashita
Publikováno v: VISIGRAPP (5: VISAPP)
In this work, we aim to realize a method for embedding human knowledge into deep neural networks. While the conventional method to embed human knowledge has been applied for non-deep machine learning, it is challenging to apply it for deep learning m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a816fab5775c7716f8bee492553b8ca8
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3
Detection of Irregularities and Rips by Finding Critical Points of Morse Theory — Preliminary Results on Analysis on Sales Data
Autor: Yoshihiro Seino, Takanori Ogata, Hiroyuki Sato, Tatsuya Shirakawa
Publikováno v: COMPSAC (2)
As data mining grows its significance in real world information extraction, we need a robust methodology without using rich assumptions. In detection of irregularities, statistical methods are very successful when we assume some distribution. However
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aa3ab88ce612ec3d281a9085a289e89b
https://doi.org/10.1109/compsac.2017.106
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4
Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning
Autor: Ryo Matsui, Hironobu Fujiyoshi, Takanori Ogata, Takayoshi Yamashita, Yuji Yamauchi, Hiroshi Fukui, Yuu Kato
Publikováno v: Computer Vision – ACCV 2016 Workshops ISBN: 9783319544267
ACCV Workshops (2)
To estimate multiple face attributes, independent classifier for each attribute are trained such as facial point detection, gender recognition, and age estimation in the conventional approach. It is inefficient because the computational cost of train
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1143d28606225c5a237dc102234c91f7
https://doi.org/10.1007/978-3-319-54427-4_29
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9
Effects of excitation frequency and H2 dilution on cluster generation in silane high-frequency discharges
Autor: Takanori Ogata, Kazunori Koga, Atsushi Harikai, Yukio Watanabe, Masaharu Shiratani
Publikováno v: Scopus-Elsevier
Reduction of cluster amount in silane discharges is the key to decreasing microstructure parameter Rα of a-Si:H films deposited with the discharges. The cluster amount is found to be reduced more than one order of magnitude using 60 MHz discharges i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b0997e095365be8616d83c2c938e8c8
http://www.scopus.com/inward/record.url?eid=2-s2.0-1642459373&partnerID=MN8TOARS
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10
Conference
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