Presentation | 1996/5/24 Learning and Understanding System adjusting Knowledge by Image and Language Agents Ken'ichi Kamei, Jun Komatsu, Shuichi Arai, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes the learning and understanding system. It utilizes agent that can acquire concepts expressed by language. To learn concepts, from feature of object image, which instructed, makes image understanding that is independnt of object possible. Our system makes a relationship between image and language. It is necessary to lean instance. And our system also avoids conflict, that comes into question in the process of leaning, so it is created to learn efficiently |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | image understanding / knowledge representation method / multi-agent / negotiation |
Paper # | AI96-4 |
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Conference Information | |
Committee | AI |
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Conference Date | 1996/5/24(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Learning and Understanding System adjusting Knowledge by Image and Language Agents |
Sub Title (in English) | |
Keyword(1) | image understanding |
Keyword(2) | knowledge representation method |
Keyword(3) | multi-agent |
Keyword(4) | negotiation |
1st Author's Name | Ken'ichi Kamei |
1st Author's Affiliation | Dept. of Computer science, Chiba Institute of Technology() |
2nd Author's Name | Jun Komatsu |
2nd Author's Affiliation | Dept. of Computer science, Chiba Institute of Technology |
3rd Author's Name | Shuichi Arai |
3rd Author's Affiliation | Dept. of Computer science, Chiba Institute of Technology |
Date | 1996/5/24 |
Paper # | AI96-4 |
Volume (vol) | vol.96 |
Number (no) | 77 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |