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» Markov constraints: steerable generation of Markov sequences
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UAI
2003
15 years 1 months ago
The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach
We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...
Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Ko...
ICCV
2007
IEEE
16 years 7 months ago
 A Component Based Deformable Model for Generalized Face Alignment
This paper presents a component based deformable model for generalized face alignment, in which a novel bistage statistical framework is proposed to account for both local and g...
Yuchi Huang, Qingshan Liu, Dimitris Metaxas
ICASSP
2008
IEEE
15 years 6 months ago
Discriminative training by iterative linear programming optimization
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Brian Mak, Benny Ng
IJCAI
2003
15 years 1 months ago
Approximating Optimal Policies for Agents with Limited Execution Resources
An agent with limited consumable execution resources needs policies that attempt to achieve good performance while respecting these limitations. Otherwise, an agent (such as a pla...
Dmitri A. Dolgov, Edmund H. Durfee
122
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IVC
2008
138views more  IVC 2008»
15 years 11 days ago
Reconstructing relief surfaces
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
George Vogiatzis, Philip H. S. Torr, Steven M. Sei...