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» Introduction to Randomized Algorithms
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125
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APPROX
2008
Springer
119views Algorithms» more  APPROX 2008»
15 years 4 months ago
The Complexity of Distinguishing Markov Random Fields
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
Andrej Bogdanov, Elchanan Mossel, Salil P. Vadhan
118
Voted
ICML
2010
IEEE
15 years 3 months ago
Random Spanning Trees and the Prediction of Weighted Graphs
We show that the mistake bound for predicting the nodes of an arbitrary weighted graph is characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
JDA
2008
100views more  JDA 2008»
15 years 2 months ago
Efficient sampling of random permutations
We show how to uniformly distribute data at random (not to be confounded with permutation routing) in two settings that are able to deal with massive data: coarse grained parallel...
Jens Gustedt
108
Voted
ESA
1995
Springer
126views Algorithms» more  ESA 1995»
15 years 6 months ago
The Online Transportation Problem
We present a poly-log-competitive deterministic online algorithm for the online transportation problem on hierarchically separated trees when the online algorithm has one extra se...
Bala Kalyanasundaram, Kirk Pruhs
CVPR
2007
IEEE
16 years 4 months ago
Spatio-Temporal Markov Random Field for Video Denoising
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...
Jia Chen, Chi-Keung Tang