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ANOR
2010
112views more  ANOR 2010»
13 years 6 months ago
Online stochastic optimization under time constraints
This paper considers online stochastic optimization problems where uncertainties are characterized by a distribution that can be sampled and where time constraints severely limit t...
Pascal Van Hentenryck, Russell Bent, Eli Upfal
IJAR
2010
139views more  IJAR 2010»
13 years 5 months ago
Imprecise expectations for imprecise linear filtering
In the last 10 years, there has been increasing interest in interval valued data in signal processing. According to the conventional view, an interval value supposedly reflects th...
Agnès Rico, Olivier Strauss
CVPR
2008
IEEE
14 years 10 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen
ICRA
2010
IEEE
143views Robotics» more  ICRA 2010»
13 years 6 months ago
On the influence of ship motion prediction accuracy on motion planning and control of robotic manipulators on seaborne platforms
Robotic manipulators on non-inertial platforms, such as ships, have to endure large inertial forces due to the non-inertial motion of the platform. When the non-inertial platform&#...
Pål Johan From, Jan Tommy Gravdahl, Pieter A...
CORR
2011
Springer
136views Education» more  CORR 2011»
12 years 11 months ago
Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers
Scoring rules for eliciting expert predictions of random variables are usually developed assuming that experts derive utility only from the quality of their predictions (e.g., sco...
Craig Boutilier