Research Equipment for Symbolic Processing in Computer      Vision
{'Code': '05060200', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'EIA', 'LongName': 'DIVISION OF EXPERIMENTAL & INTEG ACTIVIT'}}
{'SignBlockName': 'Joyce K. Muir', 'PO_EMAI': None, 'PO_PHON': None}
This recommendation is to provide funding to enhance the computational          facilities for research in computer vision and related areas in the             Electrical Engineering and Computer Science Department at the University        of Michigan.  The research efforts in the Computer Vision Research              Laboratory address almost all aspects of computer vision.  There is,            however, a clear emphasis on symbolic computation.  The activity will           involve integrating symbolic computation with the low-level processes.          The increasing requirement for symbolic processing has resulted in an           emphasis on LISP machines.                                                                                                                                      This award will provide funding for a set of high-quality workstations          which will provide the necessary capabilities.
{'FirstName': 'Ramesh', 'LastName': 'Jain', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ramesh Jain', 'EmailAddress': 'jain@ics.uci.edu', 'NSF_ID': '000378129', 'StartDate': '08/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'ZipCode': '481091079', 'PhoneNumber': '7347636438', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': 'GNJ7BBP73WE9', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '2890', 'Text': 'CISE Research Resources'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8704962.xml'}