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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 45 of 45 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2017-01-18
16:35		 Okinawa Tenbusu Naha Deep-Learning-Based Segmentation for the Head Sectioned Images of the Visible Korean Project
Mohammad Eshghi, Holger R. Roth, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Min Suk Chung (Ajou Univ.), Kensaku Mori (Nagoya Univ.) MI2016-119		 This paper presents the first end-to-end pixelwise fully automated segmentation of the head sectioned images of the Visi... [more] MI2016-119
pp.191-194
ICSS 2016-11-25
16:10		 Kanagawa Institute of Information Security Performance of link-mining techniques to detect malicious websites
Yasuhiro Takano, Daiki Ito, Tatsuya Nagai (Kobe Univ.), Masaki Kamizono (PwC Cyber Services), Masami Mohri (Gifu Univ.), Yoshiaki Shiraishi (Kobe Univ.), Yuji Hoshizawa (PwC Cyber Services), Masakatu Morii (Kobe Univ.) ICSS2016-44		 Conventional techniques to avoid malicious websites techniques by referring URL's keywords reported in black lists have ... [more] ICSS2016-44
pp.31-35
AP, SANE
(Joint)		 2015-08-28
15:10		 Ibaraki Ibaragi Univ. Mito Campus [Invited Lecture] Proposal of Synthetic Aperture Radar Information Structurization by Using Neural Networks
Satoshi Tsuda, Akira Hirose (Univ. Tokyo) AP2015-77 SANE2015-39		 Recent earth observation data gathered by satellite-borne synthetic aperture radar (SAR) systems grow very rapidly. For ... [more] AP2015-77 SANE2015-39
pp.95-100(AP), pp.31-36(SANE)
SP, IPSJ-SLP
(Joint)		 2015-07-17
10:10		 Nagano Katakura Suwako Hotel [Invited Talk] Image feature extraction and transfer learning using deep convolutional neural networks
Hideki Nakayama (Univ. of Tokyo) SP2015-45		 Convolutional neural network (CNN) has attracted more and more attention for its remarkable performance in visual recogn... [more] SP2015-45
pp.55-59
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]		 2014-11-28
10:30		 Oita B-ConPlaza Convolutional Neural Network Processing on An Accelerator based on Manymemory Network
Masakazu Tanomoto, Shinya Takamaeda-Yamazaki, Jun Yao, Yasuhiko Nakashima (NAIST) CPSY2014-82		 Recently, Convolutional Neural Network (CNN) is widely used for image recognition. GPU is generally preferred to acceler... [more] CPSY2014-82
pp.57-62
 Results 41 - 45 of 45 [Previous]  /   
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