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Author: andrew rukhin

Displaying records 31 to 40 of 46 records.
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31. Recognition Problem in Biometric Data Studies: Nonparametric Dependence Characteristics and Aggregated Algorithms
Published: 9/14/2006
Author: Andrew L Rukhin
Abstract: Biometric systems designed to detect or verify a persons identity are widely used in homeland security. A variety of commercially available biometric systems are now in existence; current technological progress makes it possible to evaluate these sy ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=150387

32. Association Characteristics in Spatial Statistics
Published: 9/12/2006
Author: Andrew L Rukhin
Abstract: A coefficient of association for two spatial sequences is suggested. Some properties of this characteristic are discussed. By using the Central Limit Theorem for stationary random fields its limiting asymptotic normality is derived for any error dist ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=150631

33. Stationary Distributions in the Atom-on-Demand Problem
Published: 9/1/2006
Authors: I Bebu, Andrew L Rukhin
Abstract: In this note a probability model for the number of atoms in a magneto-optical trap is suggested. We study an ergodic Markov Chain for the number of atoms in the trap under a feedback regime for different load distributions. Formulas for the stationa ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=150359

34. Statistical Aspects of Linkage Analysis in Interlaboratory Studies
Published: 11/9/2005
Authors: W Strawderman, Andrew L Rukhin
Abstract: This paper investigates issues that arise in statistical inference in interlaboratory studies known as Key Comparisons when one has to link several comparisons to or through existing studies. A new approach to the analysis of such a data is propose ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151793

35. Fusion of Biometric Algorithms in Recognition Problem
Published: 1/1/2005
Authors: Andrew L Rukhin, Igor Malioutov
Abstract: This note concerns the mathematical aspects for several biometric algorithms in the recognition or identification problem. It is assumed that a biometric signature is presented to a system which compares it with a database of signatures of known ind ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151795

36. Performance of Service-Discovery Architectures in Response to Node Failures
Published: 6/1/2003
Authors: Christopher E Dabrowski, Kevin L Mills, Andrew L Rukhin
Abstract: Current trends suggest future software systems will rely on service-discovery protocols to combine and recombine distributed services dynamically in reaction to changing conditions. We investigate the ability of selected designs for service-discover ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=50787

37. Calibration Experiments of a Laser Scanner
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 6922
Published: 9/1/2002
Authors: Geraldine S Cheok, Stefan D Leigh, Andrew L Rukhin
Abstract: The potential applications of laser scanners or LADARs (Laser Detection and Ranging) are numerous, and they cross several sectors of the industry construction, large-scale manufacturing, remote sensing, national defense. A LADAR is an instrument ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=860455

38. Transformation, Ranking, and Clustering for Face Recognition Algorithm Comparison
Published: 3/1/2002
Authors: Stefan D Leigh, Nathanael A Heckert, Andrew L Rukhin, J Grother Phillips, Elaine M Newton, M Moody, K Kniskern, S Heath
Abstract: The performance of face recognition algorithms is recently of increased interest, although to date empirical analyses of algorithms have been limited to rank-based scores such a cumulative match score and receiver operating characteristic. This pap ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51043

39. Dependence Characteristics of Face Recognition Algorithms
Published: 1/1/2002
Authors: Andrew L Rukhin, Patrick J Grother, P Jonathon Phillips, Stefan D Leigh, E M Newton, Nathanael A Heckert
Abstract: Nonparametric statistics for quantifying dependence between the output rankings of face recognition algorithms are described. Analysis of the archived results of a large face recognition study shows that even the better algorithms exhibit significan ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51048

40. Transformation, Ranking, and Clustering for Face Recognition Algorithm Performance
Published: 1/1/2002
Authors: Stefan D Leigh, Nathanael A Heckert, Andrew L Rukhin, P Jonathon Phillips, Patrick J Grother, E M Newton, M Moody, K Kniskern, S Heath
Abstract: The performance of face recognition algorithms is recently of increased interest, although to date empirical analyses of algorithms have been limited to rank-based scores such a cumulative match score and receiver operating characteristic. This pape ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151783



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