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137
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DAM
2008
102views more  DAM 2008»
15 years 1 months ago
Formulas for approximating pseudo-Boolean random variables
We consider {0, 1}n as a sample space with a probability measure on it, thus making pseudo-Boolean functions into random variables. We then derive explicit formulas for approximat...
Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. ...
96
Voted
JACM
2011
98views more  JACM 2011»
14 years 9 months ago
Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix
We analyze the convergence of randomized trace estimators. Starting at 1989, several algorithms have been proposed for estimating the trace of a matrix by 1 M M i=1 zT i Azi, where...
Haim Avron, Sivan Toledo
JOC
2011
104views more  JOC 2011»
14 years 5 months ago
On the Security of Oscillator-Based Random Number Generators
Physical random number generators (a.k.a. TRNGs) appear to be critical components of many cryptographic systems. Yet, such building blocks are still too seldom provided with a form...
Mathieu Baudet, David Lubicz, Julien Micolod, Andr...
133
Voted
CVPR
2008
IEEE
16 years 4 months ago
Randomized trees for human pose detection
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
Grégory Rogez, Jonathan Rihan, Srikumar Ram...
141
Voted
BMVC
2002
15 years 4 months ago
Randomized RANSAC with T(d, d) test
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
Jiri Matas, Ondrej Chum