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» Application of Level Set Methods in Computer Vision
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136
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BMCBI
2007
164views more  BMCBI 2007»
15 years 2 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason
113
Voted
IPPS
2005
IEEE
15 years 8 months ago
User Transparent Parallel Processing of the 2004 NIST TRECVID Data Set
The Parallel-Horus framework, developed at the University of Amsterdam, is a unique software architecture that allows non-expert parallel programmers to develop fully sequential m...
Frank J. Seinstra, Cees Snoek, Dennis Koelma, Jan-...
140
Voted
CVPR
2010
IEEE
15 years 20 days ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel
140
Voted
DSN
2007
IEEE
15 years 9 months ago
Using Process-Level Redundancy to Exploit Multiple Cores for Transient Fault Tolerance
Transient faults are emerging as a critical concern in the reliability of general-purpose microprocessors. As architectural trends point towards multi-threaded multi-core designs,...
Alex Shye, Tipp Moseley, Vijay Janapa Reddi, Josep...
ICCV
2009
IEEE
15 years 12 days ago
Improving accuracy of geometric parameter estimation using projected score method
A fundamental problem in computer vision (CV) is the estimation of geometric parameters from multiple observations obtained from images; examples of such problems range from ellip...
Takayuki Okatani, Koichiro Deguchi