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» On Computing Functions with Uncertainty
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FOCS
2005
IEEE
16 years 5 days ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
ICCV
2005
IEEE
16 years 5 days ago
Learning the Probability of Correspondences without Ground Truth
We present a quality assessment procedure for correspondence estimation based on geometric coherence rather than ground truth. The procedure can be used for performance evaluation...
Qingxiong Yang, R. Matt Steele, David Nisté...
SAC
2009
ACM
15 years 11 months ago
Autonomous networked robots for the establishment of wireless communication in uncertain emergency response scenarios
During a disaster, emergency response operations can benefit from the establishment of a wireless ad hoc network. We propose the use of autonomous robots that move inside a disas...
Stelios Timotheou, Georgios Loukas
CGI
1999
IEEE
15 years 11 months ago
Visualizing Knowledge about Virtual Reconstructions of Ancient Architecture
One of the assumptions of current software for visualizing architecture is that the underlying geometry is a correct, objective, and complete representation of the objects in ques...
Thomas Strothotte, Maic Masuch, Tobias Isenberg
DEXA
2006
Springer
116views Database» more  DEXA 2006»
15 years 8 months ago
Interpolating and Using Most Likely Trajectories in Moving-Objects Databases
In recent years, many emerging database applications deal with large sets of continuously moving data objects. Since no computer system can commit continuously occurring infinitesi...
Byunggu Yu, Seon Ho Kim