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» Computing Minimal Diagnoses by Greedy Stochastic Search
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CORR
2011
Springer
219views Education» more  CORR 2011»
13 years 2 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
AAAI
2004
13 years 9 months ago
SOFIA's Choice: An AI Approach to Scheduling Airborne Astronomy Observations
We describe an innovative solution to the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne observatory. The probl...
Jeremy Frank, Michael A. K. Gross, Elif Kürkl...
SIGMOD
2011
ACM
276views Database» more  SIGMOD 2011»
12 years 10 months ago
Schedule optimization for data processing flows on the cloud
Scheduling data processing workflows (dataflows) on the cloud is a very complex and challenging task. It is essentially an optimization problem, very similar to query optimizati...
Herald Kllapi, Eva Sitaridi, Manolis M. Tsangaris,...
ECCV
2010
Springer
13 years 9 months ago
Descriptor Learning for Efficient Retrieval
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...
INFORMATICALT
2010
101views more  INFORMATICALT 2010»
13 years 6 months ago
An Improved Differential Evolution Scheme for the Solution of Large-Scale Unit Commitment Problems
This paper presents an improved differential evolution (IDE) method for the solution of large-scale unit commitment (UC) problems. The objective of the proposed scheme is to determ...
Chen-Sung Chang