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The Rhetorical Challenge of Whiteness within Blackboard for African American Bidialectal Students at Elizabeth City State University
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66 |
Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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67 |
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
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In: DTIC (2013)
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68 |
Performance Evaluation of a Semantic Perception Classifier
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In: DTIC (2013)
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A Method for Correcting Broken Hyphenations in Noisy English Text
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In: DTIC (2012)
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72 |
Integration of Technology Into the Classroom: Effects on reading comprehension
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In: Research Papers (2012)
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Proposal to adapt computer programs assessment processes and computational linguistics tools to support evaluation of documents written in natural language as a result of learning tasks
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In: Inted2012: International Technology, Education And Development Conference [ISSN 2340-1079], p. 3344-3349 (2012)
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Krivine machines and higher-order schemes
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In: https://hal.inria.fr/inria-00589407 ; [Research Report] 2011, pp.17 (2011)
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Composite artistry meets facial recognition technology : exploring the use of facial recognition technology to identify composite images
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Abstract:
CHDS State/Local ; Forensic art has been used for decades as a tool for law enforcement. When crime witnesses can provide a suspect description, an artist can create a composite drawing in hopes that a member of the public will recognize the subject. In cases where a suspect is captured on film, that photograph can be submitted into a facial recognition program for comparison with millions of possible matches, offering abundant opportunities to identify the suspect. Because composite images are reliant on a chance opportunity for a member of the public to see and recognize the subject depicted, they are unable to leverage the robust number of comparative opportunities associated with facial recognition programs. This research investigates the efficacy of combining composite forensic artistry with facial recognition technology to create a viable investigative tool to identify suspects, as well as better informing artists and program creators on how to improve the success of merging these technologies. This research ultimately reveals that while facial recognition programs can recognize composite renderings, they cannot achieve a level of accuracy that is useful to investigators. It also suggests opportunities to better design facial recognition programs to be more successful in the identification of composite images. ; http://archive.org/details/compositertistry109455477 ; Approved for public release; distribution is unlimited.
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Keyword:
Computer programs; Law enforcement
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URL: http://hdl.handle.net/10945/5477
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Performance Assessments of Two-Way, Free-Form, Speech-to-Speech Translation Systems for Tactical Use
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In: DTIC (2011)
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