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SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
16 years 6 months ago
Distributed data-parallel computing using a high-level programming language
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
Michael Isard, Yuan Yu
ICCV
2001
IEEE
16 years 8 months ago
Joint Feature Distributions for Image Correspondence
We introduce `Joint Feature Distributions', a general statistical framework for feature based multi-image matching that explicitly models the joint probability distributions ...
Bill Triggs
LATIN
2010
Springer
16 years 1 months ago
Time Complexity of Distributed Topological Self-stabilization: The Case of Graph Linearization
Topological self-stabilization is an important concept to build robust open distributed systems (such as peer-to-peer systems) where nodes can organize themselves into meaningful n...
Dominik Gall, Riko Jacob, Andréa W. Richa, ...
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 10 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
ICPR
2006
IEEE
16 years 7 months ago
Shape Alignment by Learning a Landmark-PDM Coupled Model
This paper revisits the model-based approaches for groupwise shape alignment. The key contribution is modeling the landmarks instead of considering them as nodes sliding along the...
Yifeng Jiang, Jun Xie, Hung-Tat Tsui