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» Distributed Computing with Imperfect Randomness
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ECCV
2006
Springer
14 years 11 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
LCPC
2007
Springer
14 years 3 months ago
A Novel Asynchronous Software Cache Implementation for the Cell-BE Processor
This paper describes the implementation of a runtime library for asynchronous communication in the Cell BE processor. The runtime library implementation provides with several servi...
Jairo Balart, Marc González, Xavier Martore...
ICCV
2009
IEEE
15 years 2 months ago
Boundary Ownership by Lifting to 2.5D
This paper addresses the “boundary ownership” problem, also known as the figure/ground assignment problem. Estimating boundary ownerships is a key step in perceptual organiz...
Ido Leichter and Michael Lindenbaum
IMC
2006
ACM
14 years 3 months ago
On unbiased sampling for unstructured peer-to-peer networks
This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-p...
Daniel Stutzbach, Reza Rejaie, Nick G. Duffield, S...
CVPR
2010
IEEE
14 years 3 months ago
Weakly-Supervised Hashing in Kernel Space
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
Yadong Mu, Jialie Shen, Shuicheng Yan