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AIPS
2006
13 years 7 months ago
Tractable Optimal Competitive Scheduling
In this paper we describe the problem of Optimal Competitive Scheduling, which consists of activities that compete for a shared resource. The objective is to choose a subset of ac...
Jeremy Frank, James Crawford, Lina Khatib, Ronen I...
CVPR
2007
IEEE
14 years 7 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
CVPR
2010
IEEE
13 years 10 months ago
Bayes Optimal Kernel Discriminant Analysis
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
Di You, Aleix Martinez
AI
2011
Springer
13 years 25 days ago
Expressive markets for donating to charities
When donating money to a (say, charitable) cause, it is possible to use the contemplated donation as a bargaining chip to induce other parties interested in the charity to donate ...
Vincent Conitzer, Tuomas Sandholm
RTSS
2005
IEEE
13 years 11 months ago
Voltage Scaling Scheduling for Periodic Real-Time Tasks in Reward Maximization
— This paper is interested in reward maximization of periodic real-time tasks under a given energy constraint, where the reward received depends on how much computation a task ru...
Jian-Jia Chen, Tei-Wei Kuo