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Displaying records 51 to 60 of 90 records.
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51. Identifying Face Quality and Factor Measures for Video
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 8004
Published: 5/21/2014
Authors: Yooyoung Lee, P Jonathon Phillips, James J Filliben, J. Ross Beveridge, Hao Zhang
Abstract: This paper identifies important factors for face recognition algorithm performance in video. The goal of this study is to understand key factors that affect algorithm performance and to characterize the algorithm performance. We evaluate four factor ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915501

52. Learning to Recognize Distributional Functions
Report Number: 6187
Published: Date unknown
Authors: J E Devaney, L Hunter, James J Filliben
Abstract: This paper introduces a novel methodology that enables recognition of distributional functions without doing a fit of the data to the distribution. This methodology combines the technique of equation signatures, which uses coefficient independent pro ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151378

53. Methods for Quantifying and Characterizing Errors in Pixel-Based 3D Rendering
Series: Journal of Research (NIST JRES)
Published: 7/1/2008
Authors: John G Hagedorn, Judith Ellen Terrill, Adele P Peskin, James J Filliben
Abstract: We present methods for measuring errors in the rendering of three-dimensional points, line segments, and polygons in  pixel-based computer graphics systems.  We present error metrics for each of these three cases.  These methods are ap ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=152102

54. NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis
Published: 6/1/2003
Authors: Nathanael A Heckert, James J Filliben
Abstract: This chapter presents an approach/philosophy for data analysis which employs a variety of techniques (mostly graphical) to: maximize insight into a data set; uncover underlying structure; detect outliers and anomalies; test underlying assumptions; an ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151768

55. Ocular and Iris Recognition Baseline Algorithm
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7828
Published: 11/7/2011
Authors: Yooyoung Lee, Ross J Micheals, James J Filliben, P Jonathon Phillips, Hassan A. Sahibzada
Abstract: Due to its distinctiveness, the human eye is a popular biometricv feature used to identity a person with high accuracy. The Grand Challenge in biometrics is to have an effective algorithm for subject verification or identification under a broad ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909790

56. On tuning the design of an evolutionary algorithm for machining optimization problem
Report Number: 823038
Published: 5/9/2007
Authors: Jean-Louis Vigouroux, Sebti Foufou, Laurent Deshayes, James J Filliben, Lawrence A Welsch, M Alkan Donmez
Abstract: In this paper, a methodology for tuning the design of an evolutionary algorithm (EA) is presented. An EA for solving machining optimization probfems having highly non-linear constraints and uncertainties is studied. A conventional turning optimizatio ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=823038

57. Optimization of Particle Sizes in High Volume Fly Ash Blended Cements
Series: NIST Interagency/Internal Report (NISTIR)
Published: 2/2/2011
Authors: Dale P Bentz, Chiara F Ferraris, James J Filliben
Abstract: One major objective of the sustainable construction movement is to decrease the energy and carbon dioxide footprints of concrete. Since the production of portland cement is a major contributor in both of these areas, concretes with increasing quanti ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=907691

58. PREDICTING MACROSCOPIC DYNAMICS IN LARGE DISTRIBUTED SYSTEMS
Published: 7/18/2011
Authors: Kevin L Mills, James J Filliben
Abstract: In this paper, we outline an approach that can be used to predict macroscopic dynamics when new components are deployed in a large distributed system. Our approach combines two main methods: scale reduction and multidimensional data analysis techniqu ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=908101

59. Predicting Global Failure Regimes in Complex Information Systems
Published: 6/19/2012
Authors: Christopher E Dabrowski, James J Filliben, Kevin L Mills
Abstract: Over the past five years, we investigated methods to characterize global behavior in large distributed systems and applied those methods to predict effects from deploying alternate distributed control algorithms. The methods we used assess global beh ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=910913

60. Prediction of Sealant Modulus Change due to Outdoor Weathering
Published: 5/13/2015
Authors: Christopher C White, Kar T. Tan, Donald Lee Hunston, Adam L Pintar, James J Filliben
Abstract: An empirically-based model has been created to predict the change in modulus for a sealant exposed to outdoor weathering. The underlying high precision data supporting this model was obtained using the NIST SPHERE (Simulated Photo degradation by Hi ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915581



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