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» Kernels for Global Constraints
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ICML
2005
IEEE
14 years 8 months ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
WWW
2009
ACM
14 years 8 months ago
Combining global optimization with local selection for efficient QoS-aware service composition
The run-time binding of web services has been recently put forward in order to support rapid and dynamic web service compositions. With the growing number of alternative web servi...
Mohammad Alrifai, Thomas Risse
IPPS
2009
IEEE
14 years 2 months ago
Flexible pipelining design for recursive variable expansion
Many image and signal processing kernels can be optimized for performance consuming a reasonable area by doing loops parallelization with extensive use of pipelining. This paper p...
Zubair Nawaz, Thomas Marconi, Koen Bertels, Todor ...
SARA
2005
Springer
14 years 1 months ago
Compositional Derivation of Symmetries for Constraint Satisfaction
This paper reconsiders the problems of discovering symmetries in constraint satisfaction problems (CSPs). It proposes a compositional approach which derives symmetries of the appli...
Pascal Van Hentenryck, Pierre Flener, Justin Pears...
ICDAR
2009
IEEE
14 years 2 months ago
Locally Developable Constraint for Document Surface Reconstruction
This article presents a global optimization approach to reconstruct surfaces from a single document image. Instead of assuming globally developable in previous works which restric...
Yuanlong Shao, Xinguo Liu, Xueying Qin, Yi Xu, Huj...