Fault-Tolerant 3-D Object Recognition
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Sarah A. Clark', 'PO_EMAI': None, 'PO_PHON': None}
3-D object recognition presents a complex problem involving massive data        handling capability, extraction of important features, insensitivity to         noise, sensitivity to motion, all of which ideally should be done               simultaneous with the action (in real time).                                                                                                                    The present effort proposed to utilize distributed associative memories,        an area of neuroengineering, to provide such 3-D recognition.  The              (DAM'S) appear well suited for this position.
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{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1517', 'Text': 'EPMD-ElectrnPhoton&MagnDevices'}
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