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» Complexity of Probabilistic Planning under Average Rewards
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MICCAI
2007
Springer
15 years 10 months ago
Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree
Abstract. Automatic delineation and robust measurement of fetal anatomical structures in 2D ultrasound images is a challenging task due to the complexity of the object appearance, ...
Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dor...
ICCAD
2005
IEEE
105views Hardware» more  ICCAD 2005»
15 years 6 months ago
Weighted control scheduling
Abstract — This paper describes a practical technique for the optimal scheduling of control dominated systems minimizing the weighted average latency over all control branches. S...
Aravind Vijayakumar, Forrest Brewer
FSTTCS
2010
Springer
14 years 7 months ago
One-Counter Stochastic Games
We study the computational complexity of basic decision problems for one-counter simple stochastic games (OC-SSGs), under various objectives. OC-SSGs are 2-player turn-based stoch...
Tomás Brázdil, Václav Brozek,...
NIPS
2008
14 years 11 months ago
Goal-directed decision making in prefrontal cortex: a computational framework
Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored action values, and a goal...
Matthew Botvinick, James An
CORR
2010
Springer
134views Education» more  CORR 2010»
14 years 9 months ago
Incremental Sampling-based Algorithms for Optimal Motion Planning
During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), have been shown to work well in practice and to po...
Sertac Karaman, Emilio Frazzoli