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A Domain Independent Framework for Extracting Linked Semantic Data from Tables
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In: DTIC (2012)
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| 3 |
2011 Regional Proficiency Survey: Tabulations of Responses
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In: DTIC (2012)
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Improving the Capacity of Language Recognition Systems to Handle Rare Languages Using Radio Broadcast Data
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In: DTIC (2011)
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| 5 |
Statistical Techniques for Language Recognition: An Introduction and Guide for Cryptanalysts ...
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Entity Retrieval by Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers
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In: DTIC (2009)
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A DL-Based Approach to Integrate Relational Data Sources into the Semantic Web ; Une approche basée sur la logique de description pour l'intégration de données relationnelles dans le web sémantique
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In: https://tel.archives-ouvertes.fr/tel-00507482 ; Human-Computer Interaction [cs.HC]. Université Nice Sophia Antipolis, 2008. English (2008)
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| 8 |
Simulation of National Intelligence Process with Fusion
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In: DTIC (2008)
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Assessment of Breadth and Utility of India's Research Literature (2005-2006)
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In: DTIC (2007)
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| 10 |
Requirements for Linguists in Government Agencies
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In: DTIC (2004)
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| 11 |
Predictors of Plebe Summer Attrition at the United States Naval Academy
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In: DTIC AND NTIS (2003)
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| 12 |
Using non-speech sounds to improve access to 2D tabular numerical information for visually impaired users
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In: http://www.dcs.gla.ac.uk/~ramesh/Online Publication/HCI2001Final.pdf (2001)
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| 13 |
Morphological Degradation Models and their Use in Document Image Restoration
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In: DTIC (2001)
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Abstract:
Document images undergo various degradation processes. Numerous models of these degradation processes have been proposed in the literature. In this paper we propose a model-based restoration algorithm. The restoration algorithm first estimates the parameters of a degradation model and then uses the estimated parameters to construct a lookup table for restoring the degraded image. The estimated degradation model is used to estimate the probability of an ideal binary pattern, given the noisy observed pattern. This probability is estimated by degrading noise-free document images and then computing the frequency of corresponding noise-free and noisy pattern pairs. This conditional probability is then used to construct a lookup table to restore the noisy images. The impact of the restoration process is then quantified by computing the decrease in OCR word and character error rate. We find that given the estimated degradation model parameter values, the restoration algorithm decreases the character error rate by 16.1% and the word error rate by 7.35%. In some categories of degradation (e.g. model parameters that give rise to broken characters) there is a 41.5% reduction in character error rate and a 20.4% reduction in word error rate. ; Sponsored in part by NSF grant IIS9987944. Additional report CS-TR-4218
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Keyword:
*ALGORITHMS; *DEGRADATION; *IMAGE RESTORATION; *MORPHOLOGY; *NUMERICAL ANALYSIS; CHARACTER RECOGNITION; DOCUMENTS; ERRORS; ESTIMATES; Linguistics; NOISE REDUCTION; Numerical Mathematics; Optics; PARAMETERS; PATTERNS; RATES; TABLES(DATA); WORDS(LANGUAGE)
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458744
http://www.dtic.mil/docs/citations/ADA458744
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| 14 |
U.S. Army Aviation Epidemiology Data Register: Gender-Specific Attrition Among the U.S. Army Student Aviator Class of 1987.
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In: DTIC AND NTIS (1995)
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A Table-Driven Approach to Fast Context-Free Parsing
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In: DTIC AND NTIS (1988)
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| 17 |
A Cockpit Natural Language Study - Data Collection and Initial Data Analysis.
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In: DTIC AND NTIS (1987)
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A Prototype Maintenance Expert System for the CH-47 Flight Control Hydraulic System.
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In: DTIC AND NTIS (1986)
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| 20 |
TRAX II: Computer-Assisted Platoon Leader Tactical Training
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In: DTIC AND NTIS (1985)
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