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» A quantified distributed constraint optimization problem
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ECCV
2006
Springer
14 years 9 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
RTSS
2000
IEEE
14 years 3 days ago
Enhanced Fixed-Priority Scheduling with (m, k)-Firm Guarantee
In this paper, we study the problem of scheduling task sets with (m,k) constraints. In our approach, jobs of each task are partitioned into two sets: mandatory and optional. Manda...
Gang Quan, Xiaobo Sharon Hu
ATAL
2007
Springer
14 years 1 months ago
On opportunistic techniques for solving decentralized Markov decision processes with temporal constraints
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
Janusz Marecki, Milind Tambe
PLDI
2004
ACM
14 years 1 months ago
Vectorization for SIMD architectures with alignment constraints
When vectorizing for SIMD architectures that are commonly employed by today’s multimedia extensions, one of the new challenges that arise is the handling of memory alignment. Pr...
Alexandre E. Eichenberger, Peng Wu, Kevin O'Brien
TKDE
2008
154views more  TKDE 2008»
13 years 7 months ago
Watermarking Relational Databases Using Optimization-Based Techniques
Proving ownership rights on outsourced relational databases is a crucial issue in today internet-based application environments and in many content distribution applications. In th...
Mohamed Shehab, Elisa Bertino, Arif Ghafoor