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Committee Date Time Place Paper Title / Authors Abstract Paper #
SC 2019-05-31
17:15		 Ibaraki National Institute for Materials Science Recognizing Fine-Grained Contexts at Home Using Multiple Cognitive APIs -- Majority Voting Approach --
Sinan Chen, Sachio Saiki, Masahide Nakamura (Kobe Univ.) SC2019-6		 Recognizing fine-grained contexts in individual houses and residents has been an important but challenging research topi... [more] SC2019-6
pp.33-38
SC 2019-03-15
13:25		 Tokyo National Institute of Informatics Proposal of home context recognition method using feature values of cognitive API
Sinan Chen, Sachio Saiki, Masahide Nakamura (Kobe Univ.) SC2018-38		 In recent years, with the development of deep learning technology, context recognition technology utilizing multimedia d... [more] SC2018-38
pp.7-12
KBSE, SC 2018-11-09
10:30		 Hyogo   Developing Real-time Face Identification Device Composable with Distributed Applications
Kosuke Hirayama, Sachio Saiki, Masahide Nakamura (Kobe Univ.) KBSE2018-28 SC2018-23		 In recent years, many applications which using face identification are developed. However, development load in creation ... [more] KBSE2018-28 SC2018-23
pp.1-6
SWIM, SC 2018-08-24
13:50		 Tokyo Housei Univ. Feasibility study of image-based cognitive API for home sensing
Sinan Chen, Sachio Saiki, Masahide Nakamura (Kobe Univ.) SWIM2018-12 SC2018-19		 In recent years, cognitive API(Application Programming Interface) that extracts various context information through imag... [more] SWIM2018-12 SC2018-19
pp.31-36
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