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Nonrandom quantization errors in timebases
2001
IEEE Transactions on Instrumentation and Measurement
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Johns Hopkins University, Baltimore, MD, in 1987 and 1998, respectively. ...
Bryan Christopher Waltrip (M'87) received the B.S. degree in electrical engineering and computer science from the University of Colorado, Boulder, and the M.S. degree in electrical engineering from the ...
Nonrandom Quantization Errors in Timebases Gerard N. Stenbakken, Member, IEEE, Dong Liu, Janusz A. ...
doi:10.1109/19.948294
fatcat:li7taeb26ba4jdacqq2f2m4dse
Nonrandom quantization errors in timebases
Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference [Cat. No. 00CH37066]
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Johns Hopkins University, Baltimore, MD, in 1987 and 1998, respectively. ...
Bryan Christopher Waltrip (M'87) received the B.S. degree in electrical engineering and computer science from the University of Colorado, Boulder, and the M.S. degree in electrical engineering from the ...
Nonrandom Quantization Errors in Timebases Gerard N. Stenbakken, Member, IEEE, Dong Liu, Janusz A. ...
doi:10.1109/imtc.2000.846859
fatcat:kkallux47ze63mrjwckikrcxne
Towards persistent navigation with a downward-looking camera
[article]
2015
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
By its nature, however, visual data contains a high degree of variability despite minimal changes in the scene itself. ...
As a simple example, as the sun moves and weather conditions change, the apparent illumination and shading of objects in the scene can vary significantly. ...
This research fits into the general family of algorithms which employ nonrandom or non-uniformly random sampling in RANSAC in an effort to arrive at an all-inlier subset more quickly. ...
doi:10.26021/3240
fatcat:de65hkibljggpgmqwpblj7qpv4