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ECCV
2008
Springer
14 years 10 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
ISCAPDCS
2004
13 years 10 months ago
Randomized Sorting on the POPS Network
Partitioned Optical Passive Stars (POPS) network has been presented recently as a desirable model of parallel computation. Several papers have been published that address fundamen...
Jaime Davila, Sanguthevar Rajasekaran
WWW
2005
ACM
14 years 9 months ago
A uniform approach to accelerated PageRank computation
In this note we consider a simple reformulation of the traditional power iteration algorithm for computing the stationary distribution of a Markov chain. Rather than communicate t...
Frank McSherry
PPOPP
2003
ACM
14 years 1 months ago
Optimizing data aggregation for cluster-based internet services
Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability. The aggregation of results produced from multiple partitions is a f...
Lingkun Chu, Hong Tang, Tao Yang, Kai Shen
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 5 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim