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Topic Area: Data and Informatics

Displaying records 1 to 10 of 176 records.
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1. A Restricted English for Constructing Ontologies (RECON)
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7868
Topic: Data and Informatics
Published: 7/10/2012
Authors: Edward J Barkmeyer, Andreas K. Mattas
Abstract: Verifying correctness of stated facts, rules, and term definitions for an industrial domain of work requires the contributions of experts in the domain. Conversely, use of automated reasoning technologies to assist in making industry decisions and ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911267

2. SHREC’12 Track: Generic 3D Shape Retrieval
Topic: Data and Informatics
Published: 5/13/2012
Authors: Bo Li, Afzal A Godil
Abstract: Generic 3D shape retrieval is a fundamental research area in the field of content-based 3D model retrieval. The aim of this track is to measure and compare the performance of generic 3D shape retrieval methods implemented by different participant ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911044

3. A Matter of Policy
Topic: Data and Informatics
Published: 3/26/2012
Authors: David F Ferraiolo, Jeffrey Mark Voas, George Hurlburt
Abstract: This paper discusses system security policies. System policies are the set of rules that when implemented afford a strategy for the protection of information. The policy objectives are diverse and span the social-economic spectrum. System policies g ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909608

4. An Evaluation of Local Shape Descriptors for 3D Shape Retrieval
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7812
Topic: Data and Informatics
Published: 3/8/2012
Author: Sarah Y. Tang
Abstract: As the usage of 3D models increases, so does the importance of developing accurate 3D shape retrieval algorithms. Most prominently, shape descriptors are used to describe the geometric and topological properties of objects and compared to determine t ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909219

5. Objective Evaluation of Imager Performance
Topic: Data and Informatics
Published: 12/1/2011
Authors: Francine K. Amon, Dennis D Leber, Nicholas G Paulter Jr
Abstract: We describe a method by which the evaluation and characterization of the performance of an imager can be done objectively and scientifically, that is, without routine operator interpretation. Although this method is demonstrated herein for passive l ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909617

6. Salient Local 3D Features for 3D Shape Retrieval
Topic: Data and Informatics
Published: 4/7/2011
Authors: Afzal A Godil, Asim Wagan
Abstract: In this paper we describe a new formulation for the 3D salient local features based on the voxel grid inspired by the Scale Invariant Feature Transform (SIFT). We use it to identify the salient keypoints (invariant points) on a 3D voxelized model and ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=907645

7. NIST Workshop on Ontology Evaluation (NISTIR 7774)
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7774
Topic: Data and Informatics
Published: 4/1/2011
Authors: Ram D Sriram, Conrad E Bock, Fabian Martin Neuhaus, Evan K Wallace, Mary C Brady, Mark Musen, Joanne Luciano
Abstract: The National Institute for Standards and Technology sponsored a workshop in October, 2007, on the subject of ontology evaluation. An international group of invited experts met for two days to discuss problems in measuring ontology quality. The ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=907201

8. A New Analysis of the False-Positive Rate of a Bloom Filter
Topic: Data and Informatics
Published: 10/15/2010
Authors: Ken Christensen, Allen L Roginsky, Miguel Jimeno
Abstract: A Bloom filter is a space-efficient data structure used for probabilistic set membership testing. When testing an object for set membership, a Bloom filter may give a false positive. The analysis of the false positive rate is key to understanding the ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=903775

9. Further Studies of Bootstrap Variability for ROC Analysis on Large Datasets
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7730
Topic: Data and Informatics
Published: 10/11/2010
Authors: Jin Chu Wu, Alvin F Martin, Raghu N Kacker
Abstract: The nonparametric two-sample bootstrap is successfully applied to computing the measurement uncertainties in receiver operating characteristic (ROC) analysis on large datasets in areas such as biometrics, speaker recognition system, etc. To determine ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906977

10. Validation of Two-Sample Bootstrap in ROC Analysis on Large Datasets Using AURC
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7733
Topic: Data and Informatics
Published: 10/11/2010
Authors: Jin Chu Wu, Alvin F Martin, Raghu N Kacker
Abstract: Sampling variability can result in uncertainties of measures. The nonparametric two-sample bootstrap method has been used to compute uncertainties of measures in receiver operating characteristic (ROC) analysis on large datasets, such as the standard ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906231