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AAAI
2008
14 years 12 days ago
Probabilistic Planning via Determinization in Hindsight
This paper investigates hindsight optimization as an approach for leveraging the significant advances in deterministic planning for action selection in probabilistic domains. Hind...
Sung Wook Yoon, Alan Fern, Robert Givan, Subbarao ...
VISAPP
2010
13 years 8 months ago
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
Ali Mohammad-Djafari
MVA
2007
129views Computer Vision» more  MVA 2007»
13 years 11 months ago
Multi Human Trajectory Estimation Using Stochastic Sampling and Its Application to Meeting Recognition
In this paper we present a stochastic sampling approach to estimate multiple human trajectory in the meeting. The algorithm is formalized as a energy minimization problem based on...
Yosuke Matsusaka, Hideki Asoh, Futoshi Asano
LION
2009
Springer
115views Optimization» more  LION 2009»
14 years 4 months ago
Flexible Stochastic Local Search for Haplotype Inference
Abstract. Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genoty...
Luca Di Gaspero, Andrea Roli
HM
2005
Springer
152views Optimization» more  HM 2005»
14 years 3 months ago
3D Inter-subject Medical Image Registration by Scatter Search
Image registration is a very active research area in computer vision, namely it is used to find a transformation between two images taken under different conditions. Point matchi...
Oscar Cordón, Sergio Damas, Jose Santamar&i...