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133
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PIMRC
2008
IEEE
15 years 10 months ago
Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity
—We consider the Bayesian inference of a random Gaussian vector in a linear model with a random Gaussian matrix. We review two approaches to finding the MAP estimator for this m...
Ido Nevat, Gareth W. Peters, Jinhong Yuan
ICCV
2007
IEEE
16 years 5 months ago
A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm
In this work, we present a common framework for seeded image segmentation algorithms that yields two of the leading methods as special cases - The Graph Cuts and the Random Walker...
Ali Kemal Sinop, Leo Grady
135
Voted
AAIM
2008
Springer
116views Algorithms» more  AAIM 2008»
15 years 9 months ago
An Improved Randomized Approximation Algorithm for Maximum Triangle Packing
This paper deals with the maximum triangle packing problem. For this problem, Hassin and Rubinstein gave a randomized polynomial-time approximation algorithm that achieves an expe...
Zhi-Zhong Chen, Ruka Tanahashi, Lusheng Wang
SODA
2004
ACM
127views Algorithms» more  SODA 2004»
15 years 4 months ago
An optimal randomized algorithm for maximum Tukey depth
We present the first optimal algorithm to compute the maximum Tukey depth (also known as location or halfspace depth) for a non-degenerate point set in the plane. The algorithm is...
Timothy M. Chan
122
Voted
ISSAC
1997
Springer
105views Mathematics» more  ISSAC 1997»
15 years 7 months ago
On Randomized Lanczos Algorithms
Las Vegas algorithms that are based on Lanczos’s method for solving symmetric linear systems are presented and analyzed. These are compared to a similar randomized Lanczos algor...
Wayne Eberly, Erich Kaltofen