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Topic Area: Imaging
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Displaying records 21 to 30 of 104 records.
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21. Comparison of interpretability of 1080p30 and 720p60 motion imagery: trade-offs in resolution and frame rate
Topic: Imaging
Published: 5/29/2009
Authors: Charles D. Fenimore, James H Yen, John W. Roberts, Hassan A. Sahibzada
Abstract: We have conducted an evaluation comparing the interpretability potential of two standardized HD formats, 1080p30 and 720p60. Despite the lack of an existing motion image (MI) quality scale akin to the NIIRS scale, we have exploited previous work on ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=902511

22. Comparison of the WSQ and JPEG 2000 Image Compression Algorithms On 500 ppi Fingerprint Imagery
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7781
Topic: Imaging
Published: 4/23/2012
Authors: John M Libert, Shahram Orandi, John Donald Grantham
Abstract: This paper presents the findings of a study conducted to compare the effects of WSQ and JPEG 2000 compression on 500 ppi fingerprint imagery at a typical operational compression rate of 0.55 bpp (bits per pixel), corresponding to an effective compres ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=910658

23. Component-Based Handprint Segmentation Using Adaptive Writing Style Model
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 5843
Topic: Imaging
Published: 6/1/1996
Author: Michael D Garris
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=900788

24. Contradictions and Justifications: Extensions to the Textual Entailment Task
Topic: Imaging
Published: 6/16/2008
Author: Ellen M Voorhees
Abstract: The third PASCAL Recognizing Textual Entailment Challenge (RTE-3) contained an optional task that extended the main entailment task by requiring a system to make three-way entailment decisions (entails, contradicts, neither) and to justify its respon ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=152115

25. Cross Validation Comparison of NIST OCR Databases
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 5123
Topic: Imaging
Published: 1/1/1993
Author: Patrick J Grother
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=900675

26. Data Sets for the Qualification of Volumetric CT as a Quantitative Imaging Biomarker in Lung Cancer
Topic: Imaging
Published: 10/20/2010
Authors: Charles D. Fenimore, Andrew Buckler, Lawrence H. Schwartz, Nicholas Petrick, Michael McNitt-Gray, Binsheng Zhao, Anthony P Reeves, P. David Mozeley, Ricardo S. Avila
Abstract: The drug development industry is faced with increasing costs and decreasing success rates. New ways to understand biology as well as the increasing interest in personalized treatments for smaller patient segments requires new capabilities for the rap ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905531

27. Decoding Bar Codes From Image Data
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 4177
Topic: Imaging
Published: 9/1/1989
Authors: Michael D Garris, Charles L. Wilson
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=900549

28. Depicting Web Images for the Blind and Visually Impaired
Topic: Imaging
Published: 12/9/2013
Authors: Andrea Bajcsy, YaShian Li-Baboud, Mary C Brady
Abstract: A prototype to translate web graph and map images into 3D printed models in order to give the blind and visually impaired access to voting and election information.
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914629

29. Developing an Informatics and Database Infrastructure for Proficiency Testing of Quantitative Imaging Algorithms
Topic: Imaging
Published: 9/23/2011
Author: Alden A Dima
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909535

30. Dictionary Learning from Ambiguously Labeled Data
Topic: Imaging
Published: 4/9/2013
Authors: P Jonathon Phillips, Yi-Chen Chen, Vishal M Patel, Jaishanker K Pillai, Rama Chellappa
Abstract: We propose a novel dictionary-based learning method for ambiguously labeled multiclass classification, where each training sample has multiple labels and only one of them is the correct label. The dictionary learning problem is solved using an iterat ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=913138



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