Knowledge About Interfacing Descriptions
Work reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Institute of Technology research program supported in part by the Advanced Research Projects Agency of the Department of Defense and monitored by the Office of Naval Research under Contract Number N00014-70...
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Format: | Working Paper |
Language: | en_US |
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MIT Artificial Intelligence Laboratory
2008
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Online Access: | http://hdl.handle.net/1721.1/41097 |
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author | Dunlavey, Michael R. |
author_facet | Dunlavey, Michael R. |
author_sort | Dunlavey, Michael R. |
collection | MIT |
description | Work reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Institute of Technology research program supported in part by the Advanced Research Projects Agency of the Department of Defense and monitored by the Office of Naval Research under Contract Number N00014-70-A-0362-0005. |
first_indexed | 2024-09-23T11:20:08Z |
format | Working Paper |
id | mit-1721.1/41097 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T11:20:08Z |
publishDate | 2008 |
publisher | MIT Artificial Intelligence Laboratory |
record_format | dspace |
spelling | mit-1721.1/410972019-04-12T09:44:09Z Knowledge About Interfacing Descriptions Dunlavey, Michael R. Work reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Institute of Technology research program supported in part by the Advanced Research Projects Agency of the Department of Defense and monitored by the Office of Naval Research under Contract Number N00014-70-A-0362-0005. This concentrates on interactions between knowledge stated in diverse representations. It proposes a vision program that classifies any complicated object as an elaborated instance of a simple on it already understands. The resulting global-local connections facilitate evaluation of overall properties, such as visual shape and ability to support other objects. Flexibility is achieved through simultaneous use of multiple equivalent representations. These are coordinated via interfacing rules for giving hints, constraining choices, and filling in missing detail, making use of the great redundancy in most visual scenes. An important feature of the system consists of domain-dependent rules for guiding the flow of control and choosing hypothesis. MIT Artificial Intelligence Laboratory 2008-04-10T13:00:56Z 2008-04-10T13:00:56Z 1974-03 Working Paper http://hdl.handle.net/1721.1/41097 en_US MIT Artificial Intelligence Laboratory Working Papers, WP-62 application/pdf MIT Artificial Intelligence Laboratory |
spellingShingle | Dunlavey, Michael R. Knowledge About Interfacing Descriptions |
title | Knowledge About Interfacing Descriptions |
title_full | Knowledge About Interfacing Descriptions |
title_fullStr | Knowledge About Interfacing Descriptions |
title_full_unstemmed | Knowledge About Interfacing Descriptions |
title_short | Knowledge About Interfacing Descriptions |
title_sort | knowledge about interfacing descriptions |
url | http://hdl.handle.net/1721.1/41097 |
work_keys_str_mv | AT dunlaveymichaelr knowledgeaboutinterfacingdescriptions |