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» Parallel SimRank computation on large graphs with iterative ...
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PODC
2006
ACM
13 years 11 months ago
Computing separable functions via gossip
Motivated by applications to sensor, peer-to-peer, and adhoc networks, we study the problem of computing functions of values at the nodes in a network in a totally distributed man...
Damon Mosk-Aoyama, Devavrat Shah
CVPR
2005
IEEE
14 years 7 months ago
Spectral Segmentation with Multiscale Graph Decomposition
We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale image processing, this algorithm works on multiple scales of the image in parallel, w...
Florence Bénézit, Jianbo Shi, Timoth...
ICML
1996
IEEE
14 years 6 months ago
Learning Evaluation Functions for Large Acyclic Domains
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Justin A. Boyan, Andrew W. Moore
ICPADS
2005
IEEE
13 years 11 months ago
An Efficient Partition-Based Parallel PageRank Algorithm
PageRank becomes the most well-known re-ranking technique of the search results. By its iterative computational nature, the computation takes much computing time and resource. Res...
Bundit Manaskasemsak, Arnon Rungsawang
HIPC
2009
Springer
13 years 3 months ago
Group file operations for scalable tools and middleware
Group file operations are a new, intuitive idiom for tools and middleware - including parallel debuggers and runtimes, performance measurement and steering, and distributed resourc...
Michael J. Brim, Barton P. Miller