Presentation | 2016-12-16 What technology is desired for non-visible concept recognition Atsushi Hashimoto, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper discusses strategies for recognizing non-visible concept recognition. Owing to the recent innovation in deep learning technologies, visible concepts (i.e., objects and simple actions, have been recognizable. On the other hand, non-visible concepts (i.e., human psychological states, adjectives, object conditions) are not well studies due to its difficulty in determination of ground truth. We discuss a strategy that uses a vast amount of multimedia contents on the web. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | weakly supervised learning / non-visible concept recognition / word grounding |
Paper # | PRMU2016-119 |
Date of Issue | 2016-12-08 (PRMU) |
Conference Information | |
Committee | PRMU |
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Conference Date | 2016/12/15(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Eisaku Maeda(NTT) |
Vice Chair | Seiichi Uchida(Kyushu Univ.) / Hironobu Fujiyoshi(Chubu Univ.) |
Secretary | Seiichi Uchida(Kyoto Univ.) / Hironobu Fujiyoshi(NTT) |
Assistant | Masaki Oonishi(AIST) / Takuya Funatomi(NAIST) |
Paper Information | |
Registration To | Technical Committee on Pattern Recognition and Media Understanding |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | What technology is desired for non-visible concept recognition |
Sub Title (in English) | |
Keyword(1) | weakly supervised learning |
Keyword(2) | non-visible concept recognition |
Keyword(3) | word grounding |
1st Author's Name | Atsushi Hashimoto |
1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
Date | 2016-12-16 |
Paper # | PRMU2016-119 |
Volume (vol) | vol.116 |
Number (no) | PRMU-366 |
Page | pp.pp.27-28(PRMU), |
#Pages | 2 |
Date of Issue | 2016-12-08 (PRMU) |