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Visualization of Decision Processes Using a Cognitive Architecture
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In: DTIC (2013)
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| 2 |
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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| 3 |
Interacting with Multi-Robot Systems Using BML
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In: DTIC (2013)
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| 5 |
Machine Recognition vs Human Recognition of Voices
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In: DTIC (2012)
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| 6 |
Compressed Domain Automatic Level Control Based on ITU-T G.722.2
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In: DTIC (2012)
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| 7 |
Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
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In: DTIC (2012)
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| 8 |
Incremental Syntactic Language Models for Phrase-Based Translation
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In: DTIC (2011)
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| 9 |
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
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In: DTIC (2011)
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| 10 |
Maritime Domain Awareness via Agent Learning and Collaboration
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In: DTIC (2010)
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| 11 |
The Impact of Interpretation Problems on Tutorial Dialogue
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In: DTIC (2010)
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| 12 |
A Multi-Disciplinary University Research Initiative in Hard and Soft Information Fusion: Overview, Research Strategies and Initial Results
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In: DTIC (2010)
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Abstract:
The University at Buffalo (UB) Center for Multisource Information Fusion (CMIF) along with a team including the Pennsylvania State University (PSU), Iona College (Iona), and Tennessee State University (TSU) is conducting research to develop a generalized framework, mathematical techniques, and test and evaluation methods to address the ingestion and harmonized fusion of Hard and Soft information in a distributed Level 1 and Level 2 data fusion environment. The primary Research Thrusts addressed are framed around the major functional components of the JDL Fusion Process; these include 1. Source Characterization of Soft Data input streams including; human observation--direct indirect, open source inputs, linguistic framing and text processing. 2. Common Referencing and Alignment of Hard and Soft Data, especially strategies and methods for meta-data generation for Hard-Soft data normalization. 3. Generalized Data Association Strategies and Algorithms for Hard and Soft Data. 4. Robust Estimation Methods that exploit associated Hard and Soft Data. 5. Dynamic Network-based Effects on Hard-Soft Data Fusion Architectures and Methods. 6. Test and Evaluation Methodology Development to include Human-in-the-Loop. 7. Extensibility, Adaptability, and Robustness Assessment. 8. Fusion Process Framework. 9. Technology Concept of Employment. This program is a large, 5-year effort and considered distinctive in being a major academic thrust into the complexities of the hard and soft fusion problem. This paper summarizes the research strategy, the early technology decisions made, and the very early results of both design approaches and prototyping. ; Presented at the 13th International Conference on Information Fusion held in Edinburgh, UK on 26-29 July 2010. Sponsored in part by Office of Naval Research, Office of Naval Research Global, and U.S. Army Research Laboratory's Army Research Office (ARO). U.S. Government or Federal Rights License.
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Keyword:
*DATA FUSION; COMPUTATIONAL LINGUISTICS; Cybernetics; FUSION PROCESS DESIGN; GRAPHIC THEORETIC METHODS; HARD AND SOFT FUSION; INFORMATION FUSION; Information Science; Linguistics; SCIENTIFIC RESEARCH; SYMPOSIA
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA564701
http://www.dtic.mil/docs/citations/ADA564701
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| 13 |
Towards Real-time Program Awareness via Lexical Link Analysis
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In: DTIC (2010)
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| 14 |
TIACRITIS System and Textbook: Learning Intelligence Analysis through Practice
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In: DTIC (2010)
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| 15 |
Recognizing Connotative Meaning in Military Chat Communications
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In: DTIC (2009)
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| 16 |
Related Entity Finding Based on Co-Occurrence
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In: DTIC (2009)
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| 18 |
THUIR at TREC 2009 Web Track: Finding Relevant and Diverse Results for Large Scale Web Search
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In: DTIC (2009)
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| 19 |
The Multi-Session Audio Research Project (MARP) Corpus: Goals, Design and Initial Findings
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In: DTIC (2009)
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| 20 |
A Hybrid Method for Opinion Finding Task (KUNLP at TREC 2008 Blog Track)
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In: DTIC (2008)
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